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The Language of Thought

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Title: The Language of Thought


1
The Language of Thought
  • Philosophy of Mind 2007
  • Lecture 6

2
Recap
  • Mental content what a thought is about
  • Brentano intentionality the mark of the mental
  • But mental states supervene on physical states
    how can a physical state be about something?
  • Last week - how thoughts get content
    interpretationist, causal/correlational,
    teleological
  • Broad and narrow content

3
This week
  • This week how are thoughts structured?
  • Is thought like a language?
  • The language of thought (LoT) and its competitors

4
Propositional attitudes
  • We can think of content as having two elements
  • The thing were thinking of
  • How were thinking of it
  • Intentional states - propositional attitudes
  • Alf believes that the blancmange is vanilla
  • Bert desires that etc

5
Propositional attitudes
  • Same objects (blancmange, vanilla)
  • Different attitudes (belief, desire)
  • Last week how thoughts come to refer to certain
    objects
  • This week how thought expresses propositional
    attitudes

6
Propositional attitudes
  • So
  • Alf believes that the blancmange is vanilla

Intentional content (as last week)
Attitude
Proposition
7
Propositions
  • Thinkers might express propositions in English
    (or Japanese, Tagalog, Russian)
  • But we can abstract propositional content from
    these natural languages
  • How does thought express or represent that
    content?
  • As a language of thought (Jerry Fodor)?
  • A representational, computational theory

8
Language of thought
  • Four things to consider
  • How thought represents a proposition
  • How thought represents an attitude
  • How the brain can process meaning, truth, logical
    relations
  • Why must thought be like a language?

9
1. Representing a proposition
  • the blancmange is vanilla
  • Atoms and molecules (B-M J)
  • Semantics of atoms as last week
  • Combine to express propositions (truth-evaluable)
  • As sentences in a language of thought
    mentalese

Proposition
10
1. Representing a proposition
  • A simple picture ..
  • Thought type brain state type
  • Brain state a blancmange, ß vanilla
  • Combine tokens of these two brain state types a
    ß
  • In a certain syntactic (structural) relationship
  • And you get a representation in mentalese of the
    proposition the blancmange is vanilla

11
2. Representing attitudes
  • How does Alfs belief that the blancmange is
    vanilla differ from his desire that etc?
  • Represent different causal/functional roles
  • Belief disposed to eat/reject blancmange
  • Desire disposed to seek/make blancmange
  • LoT theory having propositions in the
    (metaphorical) belief box or desire box
  • Treated in different ways by the brain

12
3. LoT as a computational theory
  • LoT is a representational theory the mind
    operates with representations of the world
  • Also a computational theory
  • brains manipulate representational states
  • In ways that respect meaning, content
  • Computational theory of mind (CTM)
  • How thoughts can be about certain things
  • How thoughts can be related in appropriate, or
    rational ways

13
3. LoT as a computational theory
  • How? The brain is just a physical object
  • Like a rock, or a bowl of porridge
  • Or a computer but computer operations appear to
    respect meaning and rationality
  • E.g. maths problems

14
3. LoT as a computational theory
  • LoT representations have both semantic and
    syntactical properties
  • Semantics what an atomic element of LoT means,
    stands for
  • Syntax structure
  • LoT symbols (a, ß, d) and sentences have semantic
    content (see above last week)
  • But the brain responds to the structure of
    symbols and sentences

15
3. LoT as a computational theory
  • The brain doesnt know anything
  • Responding to structure responding
    appropriately to meaning
  • This produces intelligence response to meaning
    of representations
  • Compare a vending machine
  • Beliefs, desires, etc different sorts of
    computation over these representations.

16
The whole picture?
  • So to understand a thought we might
  • Examine a brain state
  • Establish syntactic components (e.g. a, ß)
  • Consult semantic theory, decide what these
    elements represent. E.g. cat friendly
  • What function does the state perform?
  • If it belongs in the belief box then I believe
    that the cat is friendly, if the desire box
    then I desire that the cat is friendly etc

ß?ddae???µ?pd
?µ?pdßdae???d
17
4. Why must it be a language?
  • Central idea
  • atomic elements combined in syntactic structures
  • combinatorial semantics (Fodor)

18
4 Why must it be a language?
  • a) Crucially, thoughts are sentence like
  • Compositional - put together from parts
  • Alf believes that the blancmange is vanilla
  • And so can share parts with other thoughts
  • Betty wants to buy some blancmange
  • Clare likes vanilla ice-cream
  • Reflecting rational relations

19
4 Why must it be a language?
  • Compositionality means we can have different
    thoughts about the same things
  • The elements of thought can be combined in
    different ways
  • Fodor LoT is the only game in town
  • The only theory that can explain certain features
    of thought . E.g.

20
4 Why must it be a language?
  • b) Systematicity elements of language rearranged
    to express different but related propositions
  • a)John loves Mary or b) Mary loves John
  • Similar systematic relationship between cognitive
    capacities you cant have (a) without (b) (and
    vice versa)
  • Systematicity in inference also

21
4 Why must it be a language?
  • c) Productivity and language is productive
  • Once we know the elements of language we can
    create entirely new sentences
  • Ditto thought we can combine and develop
    thoughts, think new thoughts
  • Compositionality parts making wholes

22
4 Why must it be a language?
  • d) Similar thoughts have similar effects, based
    on their common elements
  • Frank is upstairs
  • Frank is working upstairs
  • Frank has gone upstairs
  • And similar effects might suggest similar causes
    (shared elements of thought)
  • (The same is true of sentences )

23
4 Why must it be a language?
  • e) One thought can cause (lead to) another
  • Rational connectedness depends on the information
    carried by the syntactic structure of thought
  • After all, computers move from one state to the
    next for just this reason
  • So, the central idea atomic elements combined in
    syntactic structures

24
Summary
  • LoT as a representational theory
  • Mental states are intentional states
  • Represent as sentences in LoT - meaningful
    elements combined syntactically
  • Belief boxes, desire boxes
  • A computational theory
  • Thought is processing
  • This involves structure, not meaning
  • Thought is languagelike because it is
    compositional, systematic, productive, etc

25
The Only Game in Town?
  • Philosophy of Mind 2007
  • Lecture 6a

26
Recap
  • Fodor et al thought must be language-like,
    because thoughts share features of language (an
    IBE)
  • So thoughts as sentences in a LoT (mentalese)
  • Representational (intentional realism)
  • Computational processing based on thought
    symbols and combinatorial semantics

27
Now read on
  • This lecture
  • Fodors arguments in WTSHTBALoT
  • Objections to the Language of Thought
  • Alternatives
  • Map theory
  • Connectionism

28
Fodor WTSHTBALoT
  • Aunty accepts thoughts as causally related
    intentional states
  • But denies that they have constituent structure
  • Fodors three arguments against Aunty
  • Complex intentions are decomposable into parts
    structure of thought must reflect this
  • If you dont accept compositionality, you have no
    story about thought processes
  • Systematicity and productivity

29
Objections to representationalism
  • Objections to the idea that mental states need
    have intentional content
  • May be inspired by behaviourism, more recent
    eliminativism various anti-dualist intuitions
  • Do we need to postulate any more than some code
    by which the mind operates?
  • Some hints of this in Dennett, Churchlands,
    connectivist writing

30
Objections to representationalism
  • Dennett (CFTCC) how to understand
    representation?
  • Nothing is intrinsically a representation of
    anything
  • The risk of undischarged homunculi
  • But doesnt Fodor postulate self-understanding
    representations?

31
Objections to computational theory
  • From the other direction
  • Can computation, symbol manipulation, explain
    thought?
  • Searles Chinese Room
  • Dreyfus expert performance cant be captured
    algorithmically. We just see something

32
Specific objections to LoT
  • 1) Dennett (BWMR) could symbol tokens
    unambiguously identify beliefs?
  • Maybe behaviour is more important (Cf
    interpretationism, Witt. behaviourism)
  • Some beliefs are vague, not explicitly formulable
  • To avoid regress the brain must store some info
    in more basic form
  • Maybe the system structure does the work
  • Or self-understanding representations

33
Specific objections to LoT
  • 2) The Churchlands (in Lycan) linguistic
    abilities come late in evolution
  • So why should we assume that cognitive functions
    take a linguistic form?
  • A discontinuity with the cognitive abilities of
    other animals?

34
Specific objections to LoT
  • 3) Fodor argues (in TLoT) for concept nativism
    (back-tracked in Concepts)
  • All the concepts we will ever need must be innate
  • We could never learn a concept if we didnt
    already have a LoT symbol corresponding to it
  • Can we break concepts down to constituents?
  • Very few can be broken down
  • Seems implausible

35
Map Theory
  • Any representational theory must be structured
  • relationships among the namers correspond to
    relationships among the named (B-MJ p179)
  • LoT achieves this via syntactic structure
  • But why not a map in the head (B-MJ)?

36
Map Theory
  • Our beliefs structured like a map (an analogue
    system?)
  • Maps and sentences
  • Both can lose merely local information
  • But maps dont give discrete (single-belief)
    information sentences do
  • Cant extract just some information essentially
    rich
  • And no minimum representational unit
  • Is this more like our beliefs?

37
Map Theory
  • Something map-like can represent any empirical
    fact about the world
  • LoT reflects the way computers operate but why
    must brains be like computers?
  • Evolutionary story maps can evolve by becoming
    more detailed (theyre messy)
  • But LoT can seem all or nothing

38
Map Theory
  • Can it reflect the features of thought as well as
    LoT?
  • Systematicity rational relations between
    similarly structured representations
  • B-MJ Yes. Spatial relations in maps are
    similarly systematic
  • Productivity elements can be combined in new
    ways
  • B-MJ We can add new features to maps, combine
    maps, etc

39
Map Theory
  • Similar causal effect differences and
    similarities in representation show up in
    different behaviour
  • If a map shows (any) right turn, you turn right!
  • One thought leads to another rational
    connectedness between thoughts
  • Similarly reflected in the structure of the map
  • And maps can evolve as thoughts evolve

40
Connectionism
  • But LoT gives us a complete picture of how the
    mind works
  • How might the map theory be realised in the
    brain?
  • Possibly connectionism can give us a clue
  • PDP - parallel distributed processing
  • The brain not a computer as the best model of the
    mind

41
Connectionism
  • Neural networks large numbers of nodes
    (neurons) with connections between them
    (synapses)
  • Connections have different weights, reflecting
    their relative strength
  • As the network operates, the weights are adjusted
    to eliminate wrong answers
  • Networks learn certain connections as a result

42
Connectionism
43
Why connectionism?
  • NB resembles Humes associationism!
  • Reflects real neural structure (does this
    matter?)
  • Graceful degradation. Degraded, not destroyed -
    not an all or nothing system (better than maps or
    sentences)
  • As a result of distributed representation/
    computation (within limits of modularity)

44
What decides the question?
  • Which picture of the mind better reflects the
    features of thought?
  • Especially compositionality, systematicity,
    productivity
  • Fodor connectionism doesnt necessarily reflect
    systematicity
  • associative systems dont require that the
    semantic content of thoughts determines their
    relationships

45
Summary
  • LoT may be rejected by
  • Opponents of representational theories
  • Opponents of computational theories
  • Implausibility of thought being language-like
    (Dennett, Churchlands, anti-nativists)
  • Map theory as an alternative?
  • Connectionism as a (related?) alternative?
  • Can anything other than LoT explain systematicity?

46
Seminars and Reading
  • As module guide (esp BMJ)
  • Dennett Brain writing and mind reading
    (Brainstorms)
  • Sterelny The Representional Theory of Mind
  • Lycan p 277ff for good summary and reading list
  • Blackwell Companion articles on connectionism,
    computational models, Jerry Fodor, language of
    thought
  • Online Stanford Encyclopedia article on
    Computational theory of mind
  • And look ahead to next weeks reading Fodors
    Propositional Attitudes
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