Post on 01-Mar-2023
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Davidson’s Semantics and Rationality as Constitutive Ideal: a
defence against the objection from Chalmers’ Puzzle.
UNIVERSITY OF SUSSEX
CANDIDATE NUMBER: 120434
HAHP
MA PHILOSOPHY
SEPTEMBER 2014 SUMMARY: The present paper aims to explicate a reading of Davidsonian semantics which avoids the
probabilistic ‘Chalmers’ Puzzle’ objection from David Chalmers’ (2011) paper ‘Frege’s Puzzle
and The Objects of Credence’. The said objection denounces theories of rational belief which
are committed to what Chalmers terms referentialism and Bayesianism; I contend that despite
Davidson’s clear referentialist tendencies in his semantics, and despite his grounding radical
interpretation in a Bayesian decision theory, the objection is misguided since his notion of
Bayesian rationality is constitutive, and need not be descriptive. In the process, I show how
this reading both sidesteps the objection and provides an intersubjective escape route from
the problem of speaker knowledge.
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CONTENTS
§0.0 ABSTRACT
§1.0 DAVIDSON’S SEMANTICS §1.1 THE SHIFT TO MEANINGS AS TRUTHCONDITIONS
§1.2 RADICAL INTERPRETATION AS EMPIRICAL APPLICATION
§1.3 CHARITY AS SOLUTION TO THE PROBLEM OF SPEAKER KNOWLEDGE
§2.0 REFERENTIALISM AND BAYESIANISM IN DAVIDSON
§2.1 REFERENTIALISM
§2.2 BAYESIANISM
§2.3 BAYESIANISM IN RADICAL INTERPRETATION
§2.4 CHALMERS’ PUZZLE
§3.0 RATIONALITY AS CONSTITUTIVE IDEAL §3.1 CONSTITUTIVE, NORMATIVE, DESCRIPTIVE
§3.2 THE GAP BETWEEN MIND AND WORLD
§3.3 THE PROBABILITY AXIOMS AS CONSTITUTIVE, NORMATIVE
§3.4 CHALMERS’ PUZZLE REVISITED
BIBLIOGRAPHY
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§0.0 ABSTRACT This paper provides an argument to the conclusion that certain aspects of radical
interpretation can be suitably modified in order to meet an objection from Chalmers’
probabilistic version of Frege’s Puzzle (henceforth: Chalmers’ Puzzle). The difference from
Frege’s original lies in that where Frege’s Puzzle is typically leveraged against extensionalism
using examples from the Philosophy of Language, Chalmers’ Puzzle is pitched instead at the
level of a Bayesian decision theory. In section §1, I present an analysis of radical
interpretation as (i) a consequence of Davidson’s shift towards meanings as truthconditions;
(ii) an empirical application of Davidsonian semantics; and (iii) wholly reliant on a principle of
charity in order to overcome the problem of speaker knowledge. Therefore, radical
interpretation is of central importance in a defence of Davidson’s extended project. In section
§2, I draw on Rescorla (2013) and Zilhão (2003) in order to demonstrate that Davidson’s
semantics are grounded in a version of referentialism, and his principle of charity is grounded
in a Bayesian decision theory. Since Chalmers’ Puzzle purportedly generates problems for
any view which relies on these two positions, I state a version of the puzzle and outline what I
consider the pertinent consequences for Davidsonian semantics. Section §3 draws further on
Rescorla (2013) and Zilhão (2003) in order to show that Chalmers’ Puzzle is easily overcome
once we note that Davidson’s principle of charity enshrines the constitutive ideal of rationality.
The paper concludes with the objection that Chalmers’ Puzzle is misguided since it only
applies to descriptive accounts of Bayesian decision theory. Since Davidson’s constitutive
ideal of rationality need not commit him to such a descriptive account, I conclude that
Chalmers’ Puzzle is misguided as criticism of Davidson’s extended project.
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Davidson’s Semantics and Rationality as Constitutive Ideal: a
defence against the objection from Chalmers’ Puzzle. §1.0 DAVIDSON’S SEMANTICS Donald Davidson’s Philosophy, though certainly thorough and expansive in the issues with
which it grapples, consistently returns to a common theme rationality. However, in his
seminal paper 'Truth and Meaning' (1967)1, the topic appears initially to take something of a
back seat in favour of a focus on the ideal form of a semantics for a natural language. The
paper’s opening sentence identifies his vision of the task of semantics:
'a satisfactory theory of meaning must give an account of how the meanings of
sentences depend on the meanings of words' (1967, p.304).
This is an expression of the Fregean compositionality principle, which Davidson takes to
follow inevitably from an undisputed fact about natural languages, namely, that they may
contain potentially infinite numbers of sentences, yet can be mastered on the basis of
grasping a finite amount of words, syntax and logical grammar. The first part of this paper
outlines Davidson’s vision of what a semantics will need to look like if it is to meet the
constraints of the compositionality principle that is, if it is to explain how the meaning of a
putative sentence is derivable from its constituent parts.
Historical accounts of semantics until Davidson tend to employ a framework whereby
sentences, such as 'The weather is warm,' express propositions, such as the proposition that
the weather is warm. In turn, these propositions express propositional content; this is what is
evaluable for meaning, truth or falsity. Frameworks such as these assign a meaning and a
truthvalue to every proposition in the language they are a system for. However, this classic
system seems to fail when we incorporate the compositionality constraint. To use Davidson’s
own example in (1967, p.304), the sentence ‘Theaetetus flies’ expresses the proposition that
Theaetetus flies. We can then assign Theaetetus himself as the meaning of ‘Theaetetus’, and
the property of flying to ‘flies’. But how then do we generate the meaning of the whole
sentence using only these tools? It appears that to this end we must appeal to the relation
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between meanings of ‘Theaetetus’ and ‘flies’. The problem is that we then need to assign a
meaning to the relation and quickly we are thrust into a regress. Hence the Theaetetus
example appears to fail on introduction of the compositionality constraint.
Extensionalism is the view that the meaning of a putative sentence, singular term or predicate
is wholly constituted or exhausted by its extension. The meaning of a singular term, then,
such as ‘Theaetetus’, is exhausted by the set of all things which that term picks out. The same
goes for predicates such as ‘flies’: their meaning is wholly exhausted by the set of all objects
to which the predicate refers. What makes this account 0dimensional is that it recognises
reference and reference only in its giving an account of the semantics of a language.
Frege’s Puzzle which originally appeared in his (1892)2 is a series of situational examples
in which extensionalist treatment of word meaning is said to yield counterintuitive results. One
way to frame the problem for extensional accounts of word meaning is in terms of
propositional attitude reports, which are sentences containing attributions of beliefs (or certain
other cognitive states) to individuals. These are said to yield counterintuitive results since a
coextensivity principle follows directly from the extensionalist position. This coextensivity
principle maintains that all sentences, singular terms and properties which are alike in
truthvalue must be substitutable salva veritate (preserving truth). This means that if
'Superman' and 'Clark Kent' refer to the same individual, then we must be able to switch them
at our leisure in containing sentences. Here is an example where this coextensivity principle
appears to hold true:
(1) Superman grew up on the planet Krypton
(1*) Clark Kent grew up on the planet Krypton
The coextensivity principle holds fast in this case since the sentences remain true despite our
switching the singular terms; since Superman and Clark Kent are the same individual, it is
true that both grew up in the same place. Given that the truthvalue did not change, we say
the substitution occurred salva veritate (preserving truth). Frege’s Puzzle works by giving
examples of situations where substitution of coreferential terms does not happen salva
veritate. In this sense, Frege’s Puzzle is less a puzzle than a series of counterexamples to the
extensionalist claim about coextensivity. When we cannot switch coreferential terms salva
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veritate, we say there is an intensional context. Here is one such example on an intensional
context:
(2) Lois Lane believes that Superman is a superhero.
(2*) Lois Lane believes that Clark Kent is a superhero.
If the coextensivity principle were true, then switching ‘Superman’ with ‘Clark Kent’ would not
yield a change in truthvalue. However, although (2) is clearly true, the falsity of (2*) is
essential to the workings of the story, since Lois Lane knows that Superman is a superhero,
but is unaware that Clark Kent is a superhero. And it is precisely this switching of coreferential
terms which delivers the change in truthvalue. The conclusion we must take is that
extensional theories of meaning, at least in their current form, must be abandoned. According
to Davidson, 'this is the natural point at which to turn for help to the distinction between
meaning and reference' (1967, p.306). In our terminology, this is the point at which we are
compelled to introduce a first dimension into our formal semantic vocabulary. What naturally
follows Frege’s Puzzle is a conception of meaning as an entity distinct from reference.
Davidson whose vision of the central task of semantics is the satisfaction of the
compositionality constraint is compelled to answer: how does a 1dimensional account take
us closer to capturing meaning?
The new dimension facilitated by 1dimensional semantics engages meaning and reference
as two separate entities. Where previously a 0dimensional account of meaning nominated
the extension of a sentence, singular term or predicate as exhausting meaning, a
1dimensional account seeks meaning for every sentence, singular term or predicate in the
language. Meanings are thus granted a status as distinct from extension. For Davidson, at
this point, these meanings need to take the form of a meaninggiving sentence entailed by a
theorem for the language we are trying to understand. This takes the form ‘s means m’, where
s is a description of the sentence in the language we seek to understand (henceforth: object
language), and m is a meaninggiving sentence in any form such that interpreters might
understand it (henceforth: metalanguage). What Davidson needs is a theory which takes in all
possible sentences in an object language and yields a meaninggiving theorem in the above
format. Suppose again that 'Theaetetus flies' is one such possible sentence in the object
language. The theory we have in mind is one which generates:
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(3) ‘Theaetetus flies’ means that Theaetetus flies.
The problem with this kind of meaninggiving theorem is that it fails to be informative (in the
meaninggiving sense) since it is not possible to define the 'means that' except in terms of the
related concept of synonymy. And this is a circular enterprise. Further, whereas a central task
of semantics is to generate a meaninggiving sentence corresponding to every sentence in
the language, there is no clear way to test these meaninggiving sentences for semantic
accuracy: it is not possible to tell, for such examples, whether or not one has missed the
mark. Davidson’s worry that 'we are enmeshed in the intensional springs' (1967, p.309) is
countered by perhaps paradoxically stripping meaning itself of the status as a
meaninggiving entity.
In swift abandonment of the current theme, Davidson abstains both from honing a
1dimensional account or indeed developing a 2dimensional narrative for meaning. Instead,
the move is towards truthconditions of a statement in particular, the circumstances under
which those sentences are true and false as taking on the role of the meaninggiving entity.
Two closely related questions arise: (i) how can truthconditions fully capture the meaning of a
sentence?; and (ii) what form must a meaninggiving entity take, if it is to yield meaning in
terms of truthconditions?
§1.1 THE SHIFT TO MEANING AS TRUTHCONDITIONS
Thus far, we have seen that 0dimensional theories of meaning cannot deal with the problems
beset upon them by Frege’s Puzzle. We have also seen that the obvious alternative route is
similarly vacuous. This involves trying to generate a theory which yields a meaninggiving
entity of the form ‘s means m’ for every sentence in the object language. Inevitably this fails
since without a plausible, noncircular definition of ‘means that’, we are left in much the same
position as we started. Davidson’s positive proposal involves eliminating ‘meaning’ from his
technical repertoire, at least at the level of formal semantics. Instead, he opts to try to
squeeze a viable semantics for a natural language using only truthconditions. His inspiration
comes directly from the work of Alfred Tarski who, writing in the 1930s, developed a
truthconditional formal semantics for logical languages, as well as a useful procedure
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Convention T for testing their adequacy (1956)3. On Tarski’s view, an adequate semantic
theory for a formalised logical language must entail Tsentences which take the following
form:
(4) s is T in L if and only if p
In order to see how Davidson extends this semantics’ domain of application to include natural
languages, there are several crucial differences between Tsentences and the 1dimensional
meaninggiving theorems which we must note. The overtly intensional ‘means that’ is
discarded in place of a material biconditional ‘if and only if’, meaning ‘m’ is replaced by
metalanguage sentence ‘p’, and ‘in L’ is introduced, which identifies the object language (i.e
the sentence we are trying to interpret). In any possible semantic scenario in which one of
these Tsentences is generated, it is fairly easy to read off features of the situation in order
that we can fill in most of the gaps. For example, suppose someone utters 'water is wet' in
English, and a corresponding Tsentence is generated for a monolingual Englishman such as
myself. On the basis of this information, we can fill out at least the following:
(5) 'Water is wet' is T in English if and only if water is wet.
'Water is wet' is the English sentence under semantic examination. However, where ‘m’
previously figured is now occupied by ‘p’, which has been switched for the sentence 'Water is
wet' in the metalanguage. This is because ‘p’ on Tarski’s theory is supposed to be a
statement of the truthconditions of the sentence, given in the metalanguage. And the most
obvious candidate for the truthconditions of a sentence s is just its metalinguistic translation.
The guiding intuition is that if we replace ‘p’ with a trivial, though correct, statement of the
truthconditions of ‘s’, then the only undefined predicate left in the Tsentence must be
tantamount to truth. In this sense, the definition of truth in a semantics where Tsentences are
prevalent must be reducible to an explicit definition of the predicate ‘is T’.
Not only does Tarski’s work serve to provide the explicit form of a theory of truth for a formal
language, it also provides us with an explicit means by which to test it Convention T. To use
Michael Morris’ (2011)4 expression of the principle (which he calls ‘Tarski’s Test’), this test
amounts to the following:
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(TT) If you always get a truth from the schematic formula (T) [Tsentences] when you
replace the letter ‘s’ with the name of a sentence, and the letter ‘p’ with a sentence
which gives the meaning of that sentence, then ‘T’, in effect, means true.
In other words, despite the apparent triviality of (5), as long as a Tsentence provides us with
a truth, then there is nothing preventing our giving a definition of truth in terms of an explicit
definition of the predicate ‘is T’. The intuition is that insofar as we can always replace ‘p’ with a
sentence in the metalanguage one with identical truthconditions all and only sentences
involving the predicate ‘is T’ will be true sentences something which would constitute an
explicit definition.
What Davidson purports to show is twofold. One aspect of the demonstration is that
Tsentences provide a consistent and nonparadoxical definition of truth; the other is that it is
at least conceivable that such Tsentences might plausibly replace meanings as
meaninggiving theorems in his semantics for natural languages. This marks a change from
the 0dimensional and 1dimensional theories where previously meanings as entities in the
form ‘s means m’ were the sole candidates for meaninggiving theorems.
One problem with the view that truthconditions can take over the role of meaninggiving
entities is that as yet Davidson has failed to show how a semantics drawing on Tsentences
can play any useful explanatory role in our everyday concept of truth and meaning. More
specifically, whilst Davidson does appear to have shown that his theory of truth is coherent
within a certain domain of application, he has not yet given us any reason to suppose that it
has any useful empirical application beyond a formal semantic framework. Radical
interpretation is perhaps best conceived of as Davidson giving his semantics such an
empirical application albeit one within a highly idealised thought experiment. The importance
of this empirical application is twofold. First, it allows us to see that truthconditions can yield
meaninggiving theorems in certain cases; secondly, it establishes a presumption in favour of
an extensional theory of truth that sheds light on meaning as the basis for semantics. Both
have consequences which will later become clear.
§1.2 RADICAL INTERPRETATION AS EMPIRICAL APPLICATION
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According to LePore and Ludwig (2005)5, whereas the Davidsonian semantics we have
outlined constitutes Davidson’s 'initial project', radical interpretation is best conceived of as
'extended'. However, the two projects are complementary. The first gives a nod to pursuing
semantics in terms of a theory of truth; the second attempts to give a substantive theory of
communication by means of an idealised thought experiment in which agents overcome
language barriers by means of Tsentence construction alone. The two are complementary at
least in the following sense: everything there is to be known about truth and meaning is
knowable in principle using the perspective of the radical interpreter. Hence radical
interpretation is best seen not just an empirical application, but also as an empirical test.
On Davidson’s formulation of the radical interpretation situation, a field linguist is immersed
into a foreign community, endowed with no prior understanding of the customs, community or
most importantly the language. What options are available to her if she wishes to
communicate? Now it is important to understand that this question is framed at a particular
level. The answer Davidson is looking for will not come from actual empirical observations of
people in analogue situations. This is because Davison’s construction of the situation is
designed in order to encourage a certain method of interpretation utilising Tsentences as
the primary tool.
(4) s is T in L if and only if p
Davidson thinks that only two kinds of evidence are required in order that a field linguist might
begin to interpret a speaker. One kind of evidence is the utterances to which they assent
which enters into the Tsentence as ‘s’. The other is the set of environmental conditions which
appear to prompt these ‘hold true’ assertions, which take the place of p. Hence we can
construe the radical interpretation situation as prompting the field linguist with a specific task
to replace ‘s’ with each respective ‘hold true’ assertion they are faced with, and to replace ‘p’
with the corresponding environmental prompt. For example, imagine that it starts to rain in the
radical interpretation situation. In seeming response to this environmental stimuli, a native
speaker utters the words 'Llueve'. This is all the information that we need in order to start
pencilling in the modest beginnings of a truththeory:
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(6) 'Llueve' is ‘held true’ in L if and only if it is raining.
This modest hypothesis is plausibly confirmed each time the onset of rain is met with native
utterances of 'Llueve'. But just how far does this constitute Davidsonian semantics fully
absorbed? The field linguist’s best efforts above may have constructed a Tsentence, but it is
less clear that the Tsentence so built has all features necessary to play a role in the formal
semantics. This is because the Tsentence above differs from the template (below) in one key
respect.
(4) s is T in L if and only if p
The difference is encapsulated in what we may term the problem of speaker knowledge. The
root of the problem is that the predicate ‘is T’ figures in the Tarskian semantic formula,
whereas the predicate ‘is ‘held true’’ figures in the field linguist’s empirical construction. Where
the Tarskian semantic formula commands that the sentence be such that ‘is T’ is coextensive
with ‘is true’, the field linguist can accommodate this in her empirical construction only insofar
as she can secure coextensivity with ‘is true’ and ‘is held true’. Since in the radical
interpretation situation a speaker does not currently have any independent justification for
holding that the native ‘held true’ is coextensive with ‘is true’ on the formalised theory,
Davidson cannot establish the essential coextensivity claim.
Despite this apparent shortcoming, it is important to note that it would be misdirected to
protest that no actual field linguists use this method nor face this problem in constructing
their own linguistic hypotheses. The claim at question is not that field linguists actually
interpret speakers using this method only that one could. By showing that it is at least
possible in principle for someone in a sparse epistemic position to build Tsentences even
with empirical evidence so limited Davidson goes some way to establishing its importance.
The guiding intuition here is that if a field linguist can construct a Davidsonian semantics on
an empirical base so scarce, then this must provide support for his claim that 'All
understanding of the speech of another involves radical interpretation’ (1973, p315)6.
§1.3 CHARITY AS A SOLUTION TO THE PROBLEM OF SPEAKER KNOWLEDGE
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At this paper’s outset, I claimed that rationality is a topic that persistently pervades Donald
Davidson’s Philosophy. The next section aims to show that Davidson has no hope of
achieving either of his ‘initial’ or ‘extended’ projects unless he satisfactorily addresses the
problem of speaker knowledge that a speaker’s conviction does not necessarily equal actual
truthconditions. This is because Davidson requires the principle of charity, and a certain
holistic constraint, in order to address this problem and this brings with it a set of difficult
consequences.
The commitments of the principle of charity vary across formulations. The original expression,
found in Quine’s 'Word and Object' (1960, p.589)7, urges that in translation we should avoid
attributing denials of basic logical truths to individuals. This is because of a certain kind of
rational principle according to which 'your interlocutor’s silliness is less likely than your bad
interpretation' (1960, p.59). In other words, if you are consistently interpreting a speaker to
have beliefs and attitudes which differ wildly from your own, then it is more likely to be your
own error in interpretation than their error of judgement which is the source of the trouble.
Davidson’s version is wider in scope than Quine’s, extending its domain from language to
intentionality more broadly. In particular, where Quine’s charity focuses on translation into
one’s own language, Davidson’s emphasises interpretation of both the meaning of utterances
and the content of belief. On Davidson’s view, radical interpretation involves both since
'neither language nor thinking can be fully explained in terms of the other... the two are,
indeed, linked, in the sense that each requires the other in order to be understood'. (1975,
p.156)8 In bringing linguistic meaning and intentional understanding together under one and
the same interpretative project, Davidson so extends the principle of charity to cover meaning
as interdependent with belief.
This interdependence of meaning and belief has come to be known as the holistic constraint
on interpretation. Translation of words and interpreting beliefs are drawn together under the
same project interpretation. According to Malpas (1992)9, this holism is developed in
Davidson’s work such that meaning and information are indistinct. Crucially, the interpreter is
then able to interpret the speaker rather than just her words or beliefs based solely on her
utterance and environment; holding these two factors fixed whilst she solves for an
interpretation.
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The principle of charity is what allows us to hold fixed utterance and environment as thus
described. In this sense, the it serves dual purpose which take the form of assumptions. The
principle of charity is justification for an interpreter to assume two charitable subprinciples in
the behaviour of the speaker coherence and correspondence. According to coherence, an
interpreter must assume a priori that a speaker’s beliefs and intentional attitudes are by and
large consistent both with one another, and with the normative constraints of rationality. One
way to think about the coherence principle is as an empirical signal to an interpreter: each
time an interpretation appears to attribute an assertion consistent with a logical truth, an
interpreter should continue on their present course;. and each time a speaker appears to deny
a basic logical truth, the interpretation is likely worth revising. Hence coherence is a
methodological maxim which concerns the assumption of logical consistency essential to
the pertinent interpretative enterprise, and hence to interpretation more broadly.
Another way to think about the coherence principle is as the first step in a solution to the
problem of speaker knowledge. I introduced this earlier as the supposed gap between
Tsentences as an interpretative tool in radical interpretation, and the Tsentences required as
meaninggiving theorems in a formal semantics. Earlier I concluded that this is reducible to
the issue making coextensive ‘is true’ (in the former case) and ‘is ‘held true’’ (in the latter).
The principle of coherence is useful here because it permits the assumption that a speaker is
at least rational in the sense that they cannot deny basic logical truths. Not only does this
enable the interpretative project to get off the ground, it also gives us the modest beginnings
of a reason to believe that what is held true by the native speakers might constitute
truthconditions of an utterance. We move closer to achieving the coextensivity required when
we turn to combining the coherence principle with that of correspondence.
On the charitable principle of correspondence, interpreters are granted a similar
methodological maxim of assumption, but this time related to the way in which the speaker
perceives environmental conditions. Davidson eschews talk of ‘conceptual schemes’ (very
briefly, individuals’ unique or perhaps shared systems for categorising sense data, or way
of seeing the world), but this is not what the principle of correspondence pertains to. Rather,
the thought is that in a putative example from radical interpretation, such as (Quinean)
narrative in which a rabbit scurries by, the interpreter must assume that the speaker sees the
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world in such a way that they respond as would the interpreter to environmental stimuli. This
allows us to affirm that the environmental conditions prompt respective ‘hold true’ utterances.
Again, another way to think about the principle of correspondence is as warranting an
interpretative assumption this time that speakers conform to an interpreter’s own standards
of response to environmental stimuli. A consequence of this is that together with the
coherence principle we would expect to be able to attribute to speakers a repertoire of true
empirical beliefs. And this gives us yet another reason to think that as far as interpreters are
concerned speakers’ responses to environmental stimuli are as good a guide to
truthconditions as our own. With a warranted a priori assumption that speakers’ logical and
environmental beliefs are sound, and by and large true, an interpreter has all the warrant
required in order to claim coextensivity with respect to the predicate ‘is true’ and ‘is held true’.
And thus insofar as the principle of charity is itself warranted so the problem of speaker
knowledge appears to have been solved. And so charity cements itself as essential to
Davidson’s 'extended' project.
§2.0 REFERENTIALISM AND BAYESIANISM IN DAVIDSON The first section of this paper devoted itself to demonstrating the motivations behind the
principle of charity, and its subsequent employment in overcoming the problem of speaker
knowledge, which previously threatened Davidson’s project. The coming section endeavours
to show that certain vulnerabilities are both implicit in Davidson’s Tarskian semantics, and
ingrained in his account of radical interpretation. These threaten to undermine the ‘extended
project’ insofar as they demonstrate a commitment to two positions Bayesianism and
referentialism. Before detailing how commitment to these positions is open to attack from
Chalmers’ Puzzle, I will show how referentialism exposes itself in Davidson’s semantics, and
Bayesianism exposes itself in the principle of charity.
§2.1 REFERENTIALISM
According to Chalmers’ (2011)10 definition, referentialism is the view that insofar as beliefs
attribute properties to individuals, the objects of those beliefs must be determined by the
individuals and the properties attributed. According to a common strand of referentialism, the
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objects of beliefs are propositions which in turn are expressed by sentences or utterances.
So each sentence, utterance or belief expresses a particular proposition, whose contents are
then determined by the objects and properties to which it refers. For example, the proposition
expressed by my belief or utterance 'Ben Nevis is a mountain' has contents which are wholly
determined by the reference of its constituent parts. Since 'Ben Nevis' refers to Ben Nevis (the
mountain), the propositional contents are constituted by that mountain. And since 'is a
mountain' refers to the property of being a mountain, the propositional content is wholly
determined by what satisfies the conditions of mountainhood. This might seem trivial, or
indeed implausible, but the alternative that propositional content is determined wholly by
facts about our own internal mental states comes with its own set of advantages and
disadvantages.
The referentialist treats propositions concerning probability in the same way. The
propositional content of my belief to degree 0.8 (henceforth: credence) that Boris Johnson will
be elected is wholly determined by the extension of terms 'Boris Johnson' and 'will be elected',
respectively, Boris Johnson himself, and the property of being elected. But how does the
credence 0.8 play into the propositional content?
One option is to make the credence degree 0.8 a part of the proposition, such that the belief
expresses the (colloquial) proposition 'the chance that Boris Johnson will be elected is 0.8'.
This is advantageous since the extension of a credence degree 0.8 will be the property of
having a probability of 0.8. And then the property of having a probability of 0.8 determines the
propositional content. Hence it is rightly left to the probability theorist to define the terms of
correct application of this and other similar probabilistic properties.
A more common view is that the credence of degree 0.8 is not part of the propositional
content of the belief. Rather, the credence is a psychological property which illustrates the
degree to which the agent would be willing to assert the proposition. As Ramsey (1926)11
suggested, we might be able to quantify this conviction by seeing working out the upper and
lower bounds of odds an agent would be willing to accept in an idealised betting situation.
Regardless of whether or not credence can be measured in this way, there is little doubt that it
is possible to have more conviction in some beliefs than in others; this should be our guiding
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intuition in this strand of epistemological discussion. I will pursue this in more depth in
sections to come.
For now, we return to the subject of referentialism: the opening passages of 'Truth and
Meaning' (1967) are suitably described as a rally against 0dimensional, or extensional
theories of meaning. Davidson finds initially that such theories cannot deal with the
introduction of intensional contexts such as those elicited by propositional attitude reports
since they yield a failure of the coextensivity principle. After finding that 1dimensional
intensional theories of meaning also fail albeit for slightly different reasons the decision is
taken to abandon meanings as the meaninggiving theorems altogether.
Consequently, we are led down the path of a 0dimensional theory of truth as providing the
meaninggiving theorems for every possible utterance in a natural language. This is presented
not as the only way to understand a language, but as just one way to get into the same
epistemic position as a native speaker. And it is clear that if Davidson is to appeal to a
0dimensional theory of truth as underpinning his future semantics, this will need to be
defended once more against some classic puzzles for the extensionalist.
Interestingly, if we take a closer look at Davidson’s extensionalism, we see that it is entailed
by Chalmers’ referentialism. Hence if we hold the latter, we are implicitly committed to the
former. This is because referentialism relies on a conception of the extension of terms in order
to yield propositional content. In the example above, it is only the extension of 'Boris Johnson',
namely, Boris himself, that can give the belief a content. And no belief lacking content could
be meaningful. Hence 0dimensional meaning relies essentially on a certain conception of an
extension.
However, it is not so simple to show that Davidson’s own extensionalism entails referentialism
of the kind Chalmers’ offers. I contend that arguments for Davidson’s extensionalism as a
form of referentialism draw blood precisely because of the two positions’ related attitudes to
reference and truthconditions. On extensionalism at the level of Davidson’s semantics, a
Tsentence looks like this:
(4) s is T in L if and only if p
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Where ‘s’ refers to a structural description of a sentence in the object language; ‘is T’ refers to
the truthpredicate; ‘in L’ is replaced by the name of the object language, and ‘p’ refers to an
extensional description of the truth conditions of ‘s’ in the metalanguage (such that it is apt for
interpretation). This kind of strict extensional theory is advantageous according to Davidson
since it does not necessarily involve the usage of any semantical tools beyond the apparently
indispensable ‘refers to’ (1967, p.305). The key feature for present purposes is that a
prerequisite of Davidson’s Tsentences yielding a useful result is that the unknowns in the
Tsentence formula successfully refer.
(5) 'Water is wet' is T in English if and only if water is wet.
Simply put, p’s replacement in (5), ‘water is wet’, must refer to water and the property of being
wet. In particular, the propositional content expressed by the truthconditions ‘water is wet’
must be in virtue of their being truthconditions denotative of particular states of affairs in
the world. That is to say, unless referentialist determining of propositional content figures in
Davidson’s workable Tsentence formulae, Tsentences cannot underpin a Davidsonian
semantics. The version of extensionalism in play here must entail the referentialist view that
propositional content is determined by the objects and properties referred to.
To put this into the form of an example: a central claim of extensional theories is that 'Ben
Nevis is a mountain' is true in virtue of whether the extension of 'is a mountain' includes the
extension of 'Ben Nevis'. The truthvalue of the sentence varies from ‘true’ in the positive
case, to ‘false’ in the negative. Referentialists hold that the objects of belief or what is
believed is in some sense dependent on the objects referred to. Since extensionalist
accounts require a dependence for propositional content on the objects referred to, so they
require a referentialist assumption.
Whilst the principle of charity does provides a satisfactory answer to the problem of speaker
knowledge, thus allowing radical interpretation to go through, this comes at a cost. Since
radical interpretation relies on an extensionalism, so it relies on a referentialism. The
important consequence for the extended project is that Davidson needs referentialism in order
to ground Tsentences as meaninggiving, Tsentences in order to ground radical
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interpretation, and radical interpretation in order to ground charity. Each of these is required in
order to fulfil the extended project. This staking in referentialism is the first tenet in the paper’s
core argument, and can be represented thus:
(A) The principle of charity enables Davidson’s semantics to have an empirical
application by solving the problem of speaker knowledge. But this solution necessarily
involves a commitment to referentialism. Hence Davidson’s project is staked upon a
commitment to referentialism.
§2.2 BAYESIANISM
The next section deals with a second consequence Bayesianism which we conjecture is
brought about by Davidson commitment to the principle of charity. In particular, the
consequence is a commitment to a Bayesian decision theory as central to a conception of
rationality. On a Bayesian decision theory, certain laws of probability theory have a role to
play in rationality in that they provide normative constraints on belief. In general this leads to
Bayesian decision theorists cashing out warranted belief, or indeed correctness of belief, in
terms of the probabilities assigned to individual outcomes as per the experience of an
individual subject. Such an emphasis on an agent’s perceived probability of outcomes as a
fundamental kind of evidence has led to Bayesian decision theory being widely taken to invite
epistemological subjectivism.
Putting aside questions of subjectivism, Bayesians differ with respect to which laws of
probability they take to provide normative constraints on rational belief. Further, they take the
laws of probability to constrain not the contents of beliefs, but the degrees of belief (or
credences) in particular propositions. The least controversial of these constraints are the
probability axioms, most famously propounded by Kolmogorov (1933)12. But we will also
consider some others, including conditionalisation.
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First we will sketch a Bayesian decision theory in sufficient detail that we might extract a few
key commitments. In order to do this, we will draw on Strevens (2006)13 in order to present the
Bayesian position in just enough detail to extract its key commitments. Then we will
investigate the extent to which Davidson’s work on the principle of charity might be seen to
encapsulate the Bayesian position.
Strevens (2006) sets out three basic principles which underpin the Bayesian decision theory.
The first of these is that the subject assigns credences or subjective probabilities to
propositions, outcomes or events. Essentially, these credences constitute the degree to which
the agent believes the various propositions to be true and are represented by a real number
which is greater than zero (total lack of credence) and less than one (certainty). One
important thing to note is that not only are they psychologically real in that they describe an
attitude of ‘holding true’, they also map subjects to propositions (or outcomes) via a relation of
degree. This stands in progressive opposition to classical theories of confirmation, which
typically attribute relations between subjects and propositions relative to three possible
outcomes: asserts, denies or neither.
The mathematical properties which the Bayesian attributes to credences bear intuitive
resemblance to probability notation. However, given that credences are psychological objects,
as opposed to mathematical, problems arise concerning how these are to be measured or
quantified in psychological subjects. As we mentioned, Ramsey (1926) developed a model
according to which the worst odds at which an individual accepts a bet on an outcome
constitutes the value of their credence. For example, suppose that I think there is a good
chance that it will rain tomorrow, having seen the weather forecast. A hypothetical method by
which I can assign value to my credence might involve an interlocutor asking me if I would be
willing to accept odds pertaining to receiving £15 if it rains or giving away £10 if it does not.
On each dismissal of the odds he offers, the interlocutor gradually alters his position until I
accept. Plausibly, if after some number of offers, I accept receiving £10 if it rains and paying
£10 if it does not, then he has discovered that I possess a credence in the proposition that it
will rain of approximately 0.5.
Ramsey’s approach may be flawed in multiple ways, not limited to problems involving
idealised betting situations, aversions to betting and degrees of accuracy, but these are not
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areas this paper will explicitly pursue. However, it is important to take stock of the distinction
between probability at the level of mathematics, as opposed to credences which occur at the
level of psychology. Although the two may appear to behave in the same way, equating them
is at least prima facie a dangerous and dogmatic path to pluralism. For now, we can take
Strevens’ first principle thus: that Bayesianism distinguishes between credences (at the
psychological level) and probabilities (at the mathematical level).
The second of Strevens principles of Bayesianism is a development of his distinction between
credences and probabilities. In particular, both probabilities and credences appear to conform
to probability axioms such as those sets developed by Kolmogorov (1933) and Savage
(1954)14. Before we can begin a suitable explication of these axioms, some definitional
groundwork is in order. In Kolmogorov’s 'Foundations of the Theory of Probability', he defined
the terms of the debate such that the probability value P, of some event E, takes place within
probability space (Ω, F, p). This probability space in turn is composed of sample space Ω (the
set of all possible outcomes); event space F (a space in which a set composed of more than
zero outcomes may occur); and p (a probability function which maps possible events to
probabilities).
Given this framework for the mathematical study of probabilities, we can express the axioms
as constraint upon the value of p. The first axiom states that every possible outcome within
probability space must be mapped by the probability function to a real number between 0 and
1. At root, this is a mere notational point. The second axiom states that any outcome which is
logically certain, or unavoidable, must be expressed in the notation as p(E) = 1. Conversely,
any event which is logically impossible must be represented as p(E) = 0. Thus the rest of the
set of possible probability values represents degrees of possibility within probability space.
The third axiom states that if outcomes are mutually exclusive (such as in the case of a single
(ideal) coin toss it necessarily lands either heads or tails), then p(E v D) = p(E) + p(D).
With the three axioms of probability in hand, Strevens introduces two further definitions. The
first of these is the notion of a conditional probability specifically, the probability of a
particular outcome condition on another’s occurrence. The probability of E given that D is
expressed in the notation as follows:
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p(E|D) = p(ED) / p(D)
We can use the definition in the following way. If a university student estimates that his
chances of getting into University are 0.5, then we can represent this outcome, D, as p(D) =
0.5. Further, if for every student gaining a place, there is a 0.4 chance of their gaining
University accommodation, then we can represent the probability of this event, E, as p(E) =
0.4. What is the probability of gaining University accommodation conditional on gaining a
University place? Or in other words, what is the value of p(E|D)?
p(E|D) = ((0.4)*(0.5)) / p(0.5) = 0.4
Hence the conditional probability of E given D is 0.4. Contrast this with the more conventional
unconditional probabilities that these same events will occur, where unconditional probability
is informally defined as the probability an event will occur regardless of evidential factors. The
unconditional probability of outcome E, that the student will get into University
accommodation, is identical to the probability of (Getting into University AND gaining
accommodation), which is computed by p(E*D) or p(0.4*0.5) = 0.2. Hence we can say that
outcome E has an unconditional probability of 0.2 and a conditional probability (on E) of 0.4.
But what difference should the above observations make to Philosophy? Mathematicians
differ with respect to the precise details of conditional probability, Bayes’ Theorem, and to a
lesser degree, the probability axioms. But where the above principles become interesting is
where they are said to constrain rational belief. This is the intuition enshrined in the principle
of conditionalisation, which is characteristic of Bayesian position. On this epistemic principle,
the laws of probability including both the axioms and the definitions of conditional probability
constrain rational thought. In particular, the definition of conditional probability governs the
way in which we ought to update our beliefs in light of new evidence. This brings us to
Strevens’ second definition.
The principle of conditionalisation begins with the mathematical formulae above, but pitches
instead at the level of epistemology. Hence the first stage in the conditionalisation position is
that rational agents hold both conditional and unconditional beliefs in propositions. The
student, for example, has both unconditional beliefs p(D) = 0.5 that he will get into University,
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and p(E) = 0.2 that he will gain student accommodation. However, the student also has
conditional beliefs that if he successfully gains entrance into University, then the probability of
his successfully gaining student accommodation is increased, to p(E) = 0.4.
According to the principle of conditionalisation, the student’s unconditional credence p(D),
once he has acquired total evidence p(E) = 1, should be updated so as to match his previous
conditional credence in p(D|E). The same goes for all new unconditional credences. On
acquisition of a piece of total evidence E, such that p(E) = 1, unconditional credences should
be updated to match the value of any and all credences previously conditional upon E. Put
simply, one’s belief in a proposition were an event to occur, should match one’s new belief in
the proposition once the event has occurred. This is the colloquial definition of
conditionalisation going forward.
§2.3 BAYESIANISM IN RADICAL INTERPRETATION
Zilhão (2003)15 and Rescorla (2013)16 have argued that Donald Davidson’s radical
interpretation is grounded in a version of Bayesian decision theory, and is therefore
necessarily committed to the principle of conditionalisation. According to Rescorla, we need to
look closely at Davidson’s application of the principle of charity in order to see this.
Rescorla (2013) cites three themes in Davidson’s work on radical interpretation which suggest
it is grounded in a Bayesian decision theory. The first of these is the principle of charity. On
the principle of charity, in particular, the principle of coherence, an interpreter should hold that
native speakers conform to basic norms of rationality. Rescorla (2013, p.) notes LePore and
Ludwig’s emphasis that Davidson defines charity as finding enough rationality in others that
we assume they exhibit ‘norms of logical consistency, of action in reasonable accord with
essential or basic interests, and the acceptance of views that are sensible in the light of
evidence’ (2005, p.319)17 This he takes to constitute evidence in favour of the claim that the
principle of charity commits Davidson to a version of Bayesian decision theory.
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Rescorla also points out that Davidson reminds us in his (1973) paper ‘Radical Interpretation’
that if a native applies high probability to a sentence, the principle of charity then entitles us to
take this as evidence that the sentence is true. Insofar as we take charity literally, we can
derive the claim in Davidson that a native’s assigning high probability to a sentence
constitutes evidence, but not total evidence for truth of the utterance. In particular, our
ascription of particular norms to subjects should ‘track genuines relations of evidential
support’ such as those seen on a Bayesian decision theory. In fact, this requirement is a
version of probabilism which states in the broadest terms that thought conforms to the basic
probability axioms. A common derivation is that probabilism then entails the conditionalisation
principle on rational thought, since the probability axioms entail it as a constraint on
mathematical probabilities.
The final theme is that the model described above enshrines the constitutive ideal of
rationality central to all intentional ascription. The constitutive ideal makes explicit a range of
normative claims. And given that these claims act as essential enablers for the possibility of
ascribing intentionality to creatures assuming them can be seen as fundamental to
interpretation. The consequence is that without ascribing our own norms to all communicative
creatures, we cannot hope to interpret them. As Rescorla (2013, p.8) puts it, ‘We can attribute
intentionality to a creature only if we treat the creature as largely conforming to rational norms.
Which rational norms? Our own, because those are the only ones we have.’ Since an agent
need not always satisfy rational norms, provided that they are in general rational, it follows
that we must act in interpretation as if an agent conforms to norms (Bayesian and otherwise)
insofar as we do ourselves.
Based on the above analysis, I take Bayesianism to be (minimally) committed to the following
core claims. First, that there is a distinction between the probability of an event at the
empirical level, and credence in a proposition at the psychological level. Second, that
probability axioms outlined in Strevens (2012) constraint the value of probability function p.
Third, that a principle of conditionalisation establishes a normative constraint on rationality. In
particular, this tells us that our credence in a proposition p conditional on evidence E before
we have E, should be updated to match our new unconditional credence in p once E has
been acquired. Hence the Bayesian project consists in two broad projects: to explain a
descriptive mathematical theory of probability and evidence, and establishing that this
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descriptive theory might provide normative guidance. Rescorla (2013) and Zilhão (2003) have
given us strong reasons to suggest that Davidson endorses these claims, which form premise
(B).
(B) Radical interpretation is grounded in and hence reliant on a Bayesian decision
theory. In particular, the reliance is on a Bayesian principle of conditionalisation.
However, as we have shown, radical interpretation is required in order to give his
semantics an empirical application. Hence Davidson is in no position to give up radical
interpretation, or the principle of conditionalisation.
§2.4 CHALMERS’ PUZZLE
In his (2011) paper, Chalmers presents a version of Frege’s Puzzle along probabilistic, rather
than semantic lines. Where the original formulation tended to emphasise the semantics of
belief ascriptions as the source of the trouble, the probabilistic version focuses on a certain
conception of decisionmaking, namely, Bayesian decision theory, in order to generate the
inconsistency. Purportedly, there are a number of advantages to framing the puzzle in these
terms. For example, it is now open to the Bayesian to defend herself using the newfound
theoretical explanatory power probabilisticorientated discussion granted. Since the puzzle
shows how Bayesian explanation can function at the psychological level of credence, this
provides a presumption against the referentialist. The objects of utterances also become less
important than objects of credence (strength of belief, conviction), which need to play a
particular kind of role in order to figure in an adequate theory of credence. This shift
encourages a kind of debate not previously seen in the debate against referentialism.
Chalmers takes referentialism to be (minimally) committed to the following views. First, insofar
as beliefs are said to concern the world, that is to say, insofar as beliefs can be framed as
attributing properties to objects, the content of those beliefs must be determined (at least in
part) by those individuals and properties. Despite trivial appearances, this claim is of central
importance to a semantics of belief ascriptions, since it entails that when I have a belief, say
that Bertrand Russell is dead, the content of my belief is decided by the objective object of
Bertrand Russell himself, and the objective property of being dead. Incidentally, these are the
commitments of Russell’s own view of propositions which states that the objects designated
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in a sentence are literal constituents of proposition expressed by the sentence. That is to say,
my utterance 'Bertrand Russell is dead' contains as constituent part Bertrand Russell, and the
property of being dead.
One consequence of the referentialist view about semantics is that provided A and B are both
name the same object, it must be possible to switch them salva veritate (preserving truth)
within containing sentences.
(1) Hesperus is a planet.
(1*) Phosphorus is a planet.
Since ‘Hesperus’ and ‘Phosphorus’ both name the planet Venus, we should be able to (and
indeed can) switch them without altering the truth value of the sentence. In the example
above, both sentences are true, regardless of which name we use. The contemporary debate
in favour of referentialism has tended to focus on cases like the below involving belief
ascriptions since substituting coreferential terms in such contexts has proved a more difficult
business.
(2) Peter believes that Fatboy Slim is a musician.
(2*) Peter believes that Norman Cook is a musician.
Since 'Fatboy Slim’ and ‘Norman Cook’ both name the same individual, the referentialist
would expect that we would be able to switch the terms without altering the truthvalue of the
sentence overall. However, in belief contexts, it is fairly simple to imagine situations where
sentence (2) is true, but (2*) false (or vice versa). For example, I (Peter) might have met a
man named ‘Norman Cook’ at a local bar playing a secret concert but never realised that his
public alias is ‘Fatboy Slim’. Then (2*) would be true description of the state of affairs, but (2)
not. Conversely, I might have been to a ‘Fatboy Slim’ concert years previously, but so far
away from both performance and screen that I failed to identify that the man called ‘Fatboy
Slim’ is actually Norman from the bar down the road. In that case (2) would be a fitting
description of my belief state, less (2*). The important point is that when beliefascriptions are
introduced, the referentialist maxim that coreferential terms must be substitutable salva
veritate appears to fail.
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The above version of Frege’s Puzzle is familiar, and referentialist responses wellrehearsed.
But slightly different intuitions appear to govern our reactions to the problem when we frame
the issue in terms of probability. Chalmers invites us to consider a case in which genetic
scientist Olivia is conducting clinical research on the genetic basis of a disease, which
displays no symptoms until after the death of the carrier. The clinical importance of her study
is secured with prior research which has shown that the disease might diagnosed by the
presence of particular genetic structures which we will call gene A and gene B. Olivia tests
for these A and B in an attempt to assess the role these two genes play with respect to
indicating the presence of the disease D. Her research methodology is that she assesses, for
a given subject, which of gene A, gene B and disease D they possess. With this statistical
basis, she can then derive claims about the percentage likelihood of an individual having the
disease, based on their genetic makeup. Prior research in the area has shown that subjects
with gene A have a 10% chance of having the disease, and those with gene B have a 20%
chance of having the disease. However, participants who exhibit both gene A and B have a
90% chance of having the disease.
Olivia believes that there are sixty participants in the study; in fact, there are only fiftynine.
Such appearances are explained by the fact that she is being deceived by one individual, who
checks in as Dr. Jekyll on Tuesday morning, and then again as Mr. Hyde later that afternoon.
At no point in the study is Olivia aware that Dr. Jekyll and Mr. Hyde are one and the same
person. For a given subject, we can indicate their having gene A, gene B or the disease D by
respectively affixing A, B or D to their initials. Thus, for Dr. Jekyll, a belief in his having A, B or
D can be represented as follows: JA, JB, JD. The analogue for Mr. Hyde is then: HA, HB, HD.
On Tuesday evening, Olivia examines Dr. Jekyll’s A swab, and Mr Hyde’s B swab (amongst
other things), finding evidence that JA and HB. Given that JA, she forms both an
unconditional credence that p(JD) = 0.1, and a conditional credence that p(JD|JB) = 0.9. The
same goes for Mr. Hyde’s B swab. Since the probability of a Bgene owner having the disease
is twenty percent, the unconditional probability p(HD) = 0.2. However, the conditional
probability of HD based on evidence HA is represented p(HD|HA) = 0.9.
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In the morning examination, Olivia acquires evidence JA, and in the evening, she acquires
HB. For now, we will focus on HB. If referentialism is true, then given that Dr. Jekyll and Mr.
Hyde are the same person, the proposition that HB is the same proposition that JB. Hence to
acquire total evidence that HB and JA, is to acquire total evidence HB, JB, JA, HA. So the two
pairs HB and JB, as well as HA and JA, should be substitutable salva veritate within
containing probabilistic propositions.
Recall the two sets of conditional probabilities which we derived from Olivia’s morning and
evening examination, p(JD|JB) = 0.9 and p(HD|HA) = 0.9. Now that evidence JB and HA has
been acquired, Olivia should be in a position to update these credences, in accordance with
the principle of conditionalisation. However, charges Chalmers, Olivia is in no such position,
since she is unaware that she possesses evidence JB and HA, in virtue of her being unaware
that Dr. Jekyll and Mr. Hyde are identical. Hence Olivia though rational is illinformed to
update her credences in accordance with rational norms.
Intuitively, Olivia’s circumstances are such that her beliefs in p(JD) = 0.1, and p(HD) = 0.2.
This is because although she acquires JA and HB, since she is not in the epistemic position
required in order to know that JA and HB are identical with HA and JB respectively nor
should she be. Referentialism fails to acknowledge ignorance of identities across evidential
implications, and so generates an implausible result when combined with Bayesian decision
theory. Hence the paper’s core premise (C):
(C) According to Chalmers, Bayesianism is inconsistent with referentialism since when
the two views are combined, they yield counterintuitive results on probabilistic versions
of Frege’s Puzzle.
§3.0 RATIONALITY AS CONSTITUTIVE IDEAL
In the final sections of this paper, I provide an argument to the effect that Chalmers’ Puzzle
does not draw blood from Davidson’s ‘extended project’ because it only applies to versions of
Bayesianism which are descriptive. In order to establish that Davidson’s project need not
necessarily encapsulate a descriptive element, I extend our previous analysis of Zilhão in
order to accommodate his argument that Davidson’s descriptive conception of rational agency
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is incompatible with truth as bridging the gap between mind and world. Since Davidson’s
concept of truth bridging the gap between mind and world satisfactorily answers the problem
of speaker knowledge, we contend that we should accept the idea that Davidson’s descriptive
conception of rational agency does not go through. Hence provided we can construe a
version of rationality as constitutive, but not descriptive, Davidson may avoid the objection
from Chalmers’ Puzzle. The closing sections detail precisely how Chalmers’ Puzzle might be
sidestepped.
§3.1 CONSTITUTIVE, NORMATIVE, DESCRIPTIVE
As we have seen, Davidson’s conception of rationality is that it is constitutive of thought. Just
as our conforming to basic levels of rationality is a prerequisite for our having thoughts at all,
so it is a prerequisite for any creature’s having thoughts or intentionality. Radical interpretation
is supposed to enshrine the idea that normative constraints necessarily govern all possible
intentional ascription. (2004, p. 128)17. We have seen that it does this by showing how
interpretation is only made possible by assuming our own set of rational norms in other
creatures. And necessarily, given that we have no translation scheme other than our own,
creatures must conform to our own set of rational norms, since these are all we have. For
Davidson, propositional attitudes are ordered logically and systematically, and hence must be
partly constituted by such a system such that ‘the satisfaction of conditions of consistency and
rational coherence may be viewed as constitutive of the range of application of such concepts
as those of belief, desire, intention and action’ (1980, p.237)18. Not only does this guarantee
the possibility of communication, it also legitimises as per charity the reading in of Bayesian
decision theoretic interpretations into the very structure the speech and behaviour of other
agents. In an important sense, Bayesian norms or at least our attribution of them constitute
the conditions of the possibility of interpretation.
Rescorla, on the first page of his paper ‘Rationality as Constitutively Ideal’ (2013), outlines
three general conceptions of rationality: descriptive, normative and constitutive, which we are
then shown are reflected in the Philosophy of Kant, Carnap, Quine and Davidson. In general
terms, these three positions can be described as follows. On a descriptive conception, logic
(here used interchangeably with ‘rational thought’) describes the ways in which human
subjects actually think, and as such might be confirmed or denied on the basis of empirical
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evidence. This differs from a normative conception insofar as logic here describes a system of
thought and actions to which human beings ought to live up to. In a certain sense the
normative conception is also descriptive, albeit in a slightly different way; it describes a
system which we should act in accordance with. Finally, the constitutive conception states
that logic or rationality fundamentally informs what it is to think that is to say, logic neither
fundamentally describes nor prescribes the structure of human thought. Rather, acting in
accordance with rational norms is a process which enables human intentionality to take place;
Thus rationality is not just a prerequisite for interpretation, it also enables its possibility.
According to Rescorla’s own analysis, rationality as constitutive ideal entails the normative
reading. This is because insofar as rationality as constitutive ideal enables conformity to
Bayesian norms, it also prescribes their use at least insofar as we want to attribute thoughts,
beliefs, desires and actions unto ourselves. However, it does not entail the descriptive
conception, since this constrains actual human thoughts which are not necessarily bound
into accordance by psychophysical laws.
§3.2 THE GAP BETWEEN MIND AND WORLD
Zilhão (2003) has argued that the Bayesian conception of human agency is incompatible with
the idea that truth provides the link between mind and world. Since we have already
described the Bayesian conception, we now provide an analysis of truth as providing the link
between mind and world. The claim made by Zilhão is that empirical semantics of the kind
pursued by Quine and Davidson must satisfy two separate conditions: (1) there must be an
essential link connecting environment with action; (2) there must be a behavioural core
common to both interpreter and speaker. According to Zilhão, Davidson satisfies the first
condition by means of an appeal to intersubjective truth. In particular, Davidson is said to use
an intersubjective notion of truth to connect environment with action, ‘the truth conditions of
any of our utterances do belong to this public world from the outset’ (2003, p.231). This
intersubjective truth allows us to move from environmental stimulus via the principle of
charity towards Tsentences as the building blocks of an interpretation scheme.
Our framing of the problem of speaker knowledge had previously framed the problem as one
of moving between environmental stimulus to a radical interpretation Tsentence, and then
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from that radical interpretation Tsentence, to the kind required in order to form part of a
Tarskian semantics. The kind of Tsentence gathered on the ground looks like this:
(6) 'Llueve' is ‘held true’ in L if and only if it is raining.
Whereas the kind of Tsentence required in order to form the basis of a Tarskian theory of
truth looks in template form like this:
(4) s is T in L if and only if p
The problem is that (6) contains ‘held true’, whereas (4) contains ‘is T’ which in effect
amounts to ‘is true’ provided we satisfy Morris’ expression of Tarski’s Convention T. The
problem was that it is not obvious how to safely move from ‘is ‘held true’’ [by a speech
community] to ‘is true’ [according to a definition of truth]. However, Zilhão has given us strong
reason to believe that an intersubjective reading of ‘is T’ in (4) enables us to make these
coextensive. The idea that truthconditions ‘belong to this public world from the outset’ (2003,
p.231) in effect supposes that truthconditions as determined intersubjectively. This is similarly
enshrined in Davidson’s own writings, where he proclaims that an agent simply in his
belonging to a speech community has mostly true beliefs:
(GE) (x)(t) (if x belongs to the German speech community then (x holds true ‘Es
regnet’ at t if and only if it is raining near x at t) (1973, p.315).
According to Zilhão, this conception of intersubjective truth is incompatible with Davidson’s
theory of rationality, which is effectively the one found in a Bayesian decision theory. On a
Bayesian decision theory, presupposed is a framework according to which we have (i) beliefs
which are truthevaluable attitudes towards states of the world, assumed relative to desired
outcomes (2003, p.233); and (ii) desires ‘proattitudes towards representations of outcomes
of actions’ (2003, p.233). Credences represent the realnumerical degree to which different
outcomes are considered possible by the agent. We can use these credences to construct a
principle of ‘maximal expected utility’ according to different outcomes and desires. Essentially,
this principle nominates, for any set of beliefs, desires and credences, a course of action
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which optimal according to the circumstances. On a Bayesian decision theory, the ‘maximal
expected utility’ principle nominates the decision Bayesian agents actually make.
However, as with any theoretical principle which purportedly governs human action in virtue
of also being part of experience it should be confirmed or denied on the basis of empirical
evidence. The problem with the principle of ‘maximal expected utility’ is that it is not so
empirically verifiable, even in principle. One is faced with a major problem since
Bayesianism assumes the system of beliefs, desires and utility in its initial statement one
cannot empirically confirm or deny the existence of such a system except relative to it. That is,
it is not possible to empirically test, since to empirically test involves assuming its truth from
the outset.
Further, Zilhão contends that when one looks closer, the Bayesian decision theory is based
on a description of the ideal behaviour of a perfectly rational gambler in accordance with the
axioms of probability. This is the idea we touched on in our discussion of Ramsey (1926) in
section §2. The claim that needs to be empirically verified is then does the behaviour of
actual human agents conform on any analogous level to the behaviour of the perfectly rational
gambler in the idealised betting situation? In order to affirm this, agents need to act according
to the probability axioms not just in an idealised game situation, but in most (or all) aspects of
their daily lives.
§3.3 THE PROBABILITY AXIOMS AS CONSTITUTIVE, NORMATIVE.
How far do the axioms prescribed for use in an ideal game situation inform our daily decisive
behaviour? Zilhão suggests that his axioms A and B face (respective) and devastating
problems. According to Axiom A, a relation of ‘is at least as preferred as’ holds between any
two coordinates open to an agent’s consideration. This is a binary relation which satisfies
transitivity, reflexivity and connectedness and allows us to place any or all outcome options
open to us in a linear scale with an assignment of realnumerical values to each. Tversky
(1969)19 undermines axiom A by showing that in practice, preference patterns do not satisfy
the constraints on axiom A, since more often than not psychological studies have shown
preferences ranked in the way described above do not exhibit transitivity. At worst, these
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empirical observations suggest that agents do not conform to the basic probability axioms
most of the time.
Axiom B drives us to the same result, albeit due to a different problem. According to axiom B,
given outcomes A, B, C and D. If A is at least as preferred as B, and C and D result
respectively from the same change in their common outcomes, then C must be at least as
preferred as D. These are enshrined in and hence justified by the following decision
strategy. If an agent is considering the most advantageous outcome to choose, the agent
should consider the mutually exclusive and jointly exhaustive set of events within the
probability space as his options. Hence possible states with the same outcome arising from
those options available to him should not be considered twice. However, Axiom B has again
been shown to be false by Allais’ problem (1953)20. On empirical tests of Allais’ problem,
subjects are given two decision situations each involving two gambles. In choice one, agents
are given the opportunity to choose between winning a certain large amount of money
outright, as opposed to gambling that same amount of money against a small probability of
winning five times that amount, and an even smaller probability of winning nothing. In the
second choice, agents must choose between two gambles where they are most likely to win
nothing. Importantly, in the second choice, agents choose the gamble in which the highest
prize is at stake, despite the fact that the chance of winning is less than in the first choice of
gamble. Hence axiom B is not warranted to have status as a descriptive axiom of actual
gambling behaviour in human agents.
Quite clearly, these gambling situations provide strong reasons against the view that the
axioms of probability constitute descriptions of actual decisiontheoretic behaviour in game
play, even under idealised conditions. And equally clearly, Davidson’s conception of rationality
as constitutively idea dispels the presumption that any such descriptive project might be
possible. Rather, the view favoured is one where Axiom A and Axiom B describe behaviours
the assumption of which makes possible communication and interpretation in the radical
interpretation situation. Without the assumption that agents do conform for the most part to
Axiom A and B, interpretation would not be possible. Thinking of rationality as constitutively
ideal in this way essentially absorbs the objection agents’ acting out of step with the rational
norms under idealised circumstances is not objectionable in itself. All that is required is that
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agents conform most of the time, and that we are in a position where charity permits us to
assume this.
§3.4 CHALMERS’ PUZZLE REVISITED
The discussion in this chapter so far has aimed to demonstrate beyond reasonable doubt that
Davidson’s position is dependent on the principle of charity, enshrined in the constitutive ideal
of rationality, in order to complete his ‘extended project’. A corollary of this discussion is that
the constitutive conception in virtue of rationality being a prerequisite for interpretation need
not entail a descriptive conception of rationality. A constitutive conception aims to show that
an agent need only assume that other agents are by and large rational in order to interpret
them. This does not require agents to conform in a rigid way to rational descriptions; a useful
feature of an account given that this requirement has been repeatedly empirically
undermined.
Davidson’s extensional or 1dimensional theory of truth commits him to a referentialism about
the objects of propositions. This is of fundamental importance since referentialism about the
objects of propositions seems to commit one to referentialism about the objects of
propositions concerning probability. Further, since Davidson’s holistic constraint entails that
finding meaning and interpreting beliefs are part of one and the same project, he seems also
to be committed to referentialism about the objects of belief.
Chalmers’ referentialism as we earlier explained is a referentialism which concerns the
objects of credence. What are the objects of credence? These are the entities to which
credences are rightly assigned. For example, if I have a credence p(X) = 0.75, what is it that I
have a credence to degree 0.75 in? Conventional or Russellian propositions, according to
Chalmers’, need to meet certain criteria in order to do the job required such that a theory of
the objects of credence might be successful. Hence referentialism about credence is best
viewed as a constraint on the nature of the Russellian proposition. The constraint is this:
where an agent has a credence which asserts something about some object or property, the
objects of credence must be determined wholly by those objects and properties in which the
credence is had.
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What about the Chalmers’ Bayesianism? Recall that Chalmers’ definition of Bayesianism is
cast at the level of conditional and unconditional credences in propositions. His conditions on
these conditional and unconditional credences is that they must be updated in light of new
evidence in precisely the manner designated by the principle of conditionalisation which
states that one’s previous credence in X conditional on acquisition of total evidence E should
match the new unconditional credence once E has successfully acquired X.
With the two definitions in hand, it is fairly straightforward for Chalmers’ to build his example
concerning Olivia. Olivia is a supposedly ‘rational’ agent who forms various conditional and
unconditional beliefs based on the hypothetical and actual acquisition of certain pieces of total
evidence. However, since she is unaware of an identity between two potential sources of
evidence Dr. Jekyll and Mr. Hyde once she has actually acquired total evidence E, she
does not realise her privileged epistemic position. Since Olivia has been deceived into
thinking that she actually has two smaller pieces of the evidential puzzle, she fails to update
her beliefs on acquisition of E in the way prescribed by the principle of conditionalisation. The
issue arises because referentialism is too strict a constraint on acquisition of evidence. In
particular, in failing to account for the fact that evidence might come into contact with agents,
and yet those agents be aware of its status as evidence, leads to these kinds of confusions.
Ignorance of identities plays a crucial role in Chalmers’ Puzzle, just as it does in Frege’s.
Davidson’s referentialism, despite appearances to the contrary, does not endorse the kind of
referentialism required in Chalmers. The opening passages in his (1967) paper ‘Truth and
Meaning’ appear to shift away from referential accounts of meaning with swift conviction.
However, the shift to meanings as truthconditions does employ a referential account as a
basis for his Tarskian formal semantics. What then, are the socalled objects of truth, or those
entities to which truthconditions are correctly assigned? And does this entail a view that
those same objects are that to which credences are correctly assigned?
In my solution to the problem of speaker knowledge, I suggested that Davidson faced a
problem in making coextensive the ‘held true’ predicate from radical interpretation with the ‘is
true’ predicate needed by a Tarskian semantics. In the third section of the paper, I outlined a
response according to which the two predicates might be made coextensive by appeal to truth
as grounded in the intersubjective the same claim made in Zilhão (2003). As Davidson
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affirms in his (1973, p.315) statement of (GE), simply belonging to a speech community
allows us to afford the predicate the status of truth in a Tsentence. To revisit the earlier
example:
(6) 'Llueve' is ‘held true’ in L if and only if it is raining.
Suppose Davidson’s empiricallygathered Tsentences are referential in the sense required by
Chalmers. In that case, the ‘it is raining’ on the right hand side of the material biconditional
must refer to a state of affairs in the world. As such, the truth of (6) as a whole must depend
upon the actual status of the objects and properties ascribed. Given that referentialism is then
rendered true with respect to truth, and given that Davidsonian truth is all that there is to
meaning, this referentialism must then be said to be true concerning the propositional content
of the sentence.
However, on the intersubjective solution apprehended in Zilhão (2003), the sentence to the
right hand side of the material biconditional ‘it is raining’ depends for its truth on the actual
status of the objects and properties ascribed only insofar as these are intersubjectively
considered to be as they are according to members of the speech community. Given that in
the crucial case, referentialism about the objects of propositions does not hold, Chalmers’
objection does not go through.
As we have noted, Davidson’s Bayesianism does not extend to correct descriptive practice.
This is because the constitutive ideal of rationality entails only a normative theory of decision
as central to the possibility of radical interpretation. And empirical tests have consistently
provided plausible actual and possible counterexamples to descriptive Bayesianism.
However, Chalmers’ argument that Bayesianism is incompatible with referentialism relies on a
version of Bayesianism which requires the descriptive variant.
The counterintuitive result for Olivia’s thought experiment is generated by constraining
Bayesian rationality to consist in the principle of conditionalisation updating one’s conditional
and unconditional credences to reflect the acquisition of new evidence. Referentialism
generates a problem in its failure to differentiate between acquiring new evidence, and
acquiring information (which we are unaware is evidence). The principle of conditionalisation
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then fails since the referentialist position fails to capture the nature of the evidence in play. But
the principle of conditionalisation only fails since referentialism passes it the wrong result.
Given that Davidson need not be committed to the misguided conception of referentialist
propositions, Bayesianism generates the right result. Further, given that rationality is
constitutive, not descriptive, the results of Olivia’s experiment are not counterintuitive. Now we
are in a position to state the present paper’s core argument:
(A) The principle of charity enables Davidson’s semantics to have an empirical
application by solving the problem of speaker knowledge. But this solution necessarily
involves a commitment to referentialism. Hence Davidson’s project is staked upon a
commitment to referentialism.
(B) Radical interpretation is grounded in and hence reliant on a Bayesian decision
theory. However, as we have shown, radical interpretation is required in order to give
his semantics an empirical application. Hence Davidson is in no position to give up
radical interpretation, nor a Bayesian decision theory.
(C) According to Chalmers, Bayesianism is inconsistent with referentialism since when
the two views are combined, they yield counterintuitive results on probabilistic versions
of Frege’s Puzzle.
(D) Though Davidson’s theory is extensional in that the Tsentences in radical
interpretation nominate truthconditions, they are not referential as Chalmers’
requires since these truthconditions are not relative to the objects and properties
ascribed. Rather, their extensions are determined by the speech community that the
speaker is a part of.
(E) Though Davidson appears committed to Bayesianism; he is uncommitted to any
kind of descriptive Bayesian project. That is to say, the constitutive ideal of rationality
entails that rationality is normative, but not that all (actual) human agents behave
rationally.
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(F) Chalmers’ project only applies to descriptive Bayesianism because it fails to
establish that credences conform to the axioms of probability. Without this connecting
point, claims regarding normative Bayesianism are unwarranted.
§3.5 CONCLUDING REMARKS
For all the lengthy discussion, this paper’s present point is rather small: although Davidson’s
constitutive ideal of rationality commits him to a certain kind of Bayesian decision theory, it
need not necessarily commit him to a descriptive reading. And despite Davidson’s claim that
rationality describes a constitutive system, which acts as an enabling feature for
interpretation, rationality as constitutive ideal seems to fail to tell us anything descriptive about
how rational agents actually think. Indeed, Tversky’s experiments and Allais’ problem seem to
establish something of a presumption against this idea. Although a constitutive conception of
rationality describes the status of Bayesian decisiontheoretic norms in rational inquiry, it fails
to answer the empirical question of how far actual interpreters conform.
Therefore, the constitutive ideal of rationality is fundamentally nondescriptive of the actual
epistemic character of an individual’s credences. So the objection from Chalmers’, which
requires only that individuals are on that theory correctly described as exhibiting conditional
and unconditional credences which are updated accordance with the conditionalisation
principle, is misguided. Where Chalmers’ Puzzle seizes upon Bayesianism as describing
actual practices embedded in the thought and action of agents, our reading of the constitutive
ideal shows how Davidson may be convicted of no such illegitimate practice.
The problem of speaker knowledge had previously looked to be devastating since it relied on
a contaminated piece of machinery the principle of charity. This was essential to our
endeavours to solve the problem of speaker knowledge, but carried with it toxic commitments.
Zilhão’s (2003) first major contribution is to clarify that the principle of charity does enshrine
the constitutive ideal, but not at the cost of a commitment to descriptive Bayesianism thus
sidestepping Chalmers’ objections. His second is to suggest that an intersubjective reading of
radical interpretation constitutes a suitable modification in order to solve the problem of
speaker knowledge. At least in part, this is due to its showing how the radical interpreter can
plausibly gather convincing evidence to confirm or deny a putative Tsentence.
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What to make of Davidson’s extended project in light of this discussion? We have eliminated
two potential weak points from a previously unsettled discussion: first, the problem of speaker
knowledge, which is overcome by noting Davidson’s (1973) observation that (GE) confirms
authoritative truth within an intersubjective speech community, thus releasing the onus on the
principle of charity to conflate the empirical predicate ‘is ‘held true’’ with the formal semantic
predicate ‘is T’; second, the extent of the Bayesian input into the core functioning of radical
interpretation is as part of the constitutive and normative nature of interpretation. Just as
Bayesian decision theory provides answers concerning how we should behave under
idealised game situations, it provides a prescription for the content of the principle of charity.
We suggest that the Bayesian role is to be emphasised with respect to the normative aspect
of radical interpretation, but that this cannot extend to the descriptive.
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