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Empiricist Mentalist Semantics Barry Nouwt Master’s Thesis Cognitive Artificial Intelligence Supervised by Dr. H.L.W. Hendriks June 2008
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Empiricist Mentalist Semantics

Feb 04, 2022

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Page 1: Empiricist Mentalist Semantics

Empiricist Mentalist Semantics

Barry Nouwt

Master’s Thesis Cognitive Artificial Intelligence

Supervised by Dr. H.L.W. Hendriks

June 2008

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Contents

• Introduction

• Intersubjectivity Objection

• Self-applicability Objection

• Abstract ideas Objection

• Conclusion

• Further Research / Discussion

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Introduction

• Computers can speak, read and hear sentences

• Computers cannot understand meaning of sentences

• Semantic theory to implement meaning

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Introduction

• Semantic theory from philosophy.

• Ludwig Wittgenstein and Gottlob Frege are recent and popular.

• However, not suitable for implementation because non-mentalist.

• Let’s look at less recent semantic theories!

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Introduction

• Mentalist Semantic theories from 17th

century.

• John Locke’s Empiricist Mentalist Semantic Theory from his book An Essay Concerning Human Understanding (1690).

• Seems more suitable for implementation on computers.

• Let’s take it as our starting point!

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Introduction

• Three serious objections against Empiricist Mentalist Semantic Theory (EMST)

• Intersubjectivity Objection (Frege)

• Self-applicability Objection (Wittgenstein)

• Abstract Ideas Objection (Berkeley)

• How can these three objections be met?

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Intersubjectivity Objection

• Intersubjectivity: two subjects attribute the same information to words (e.g. ‘tree’).

• Without intersubjectivity, communication is impossible.

• Intersubjectivity and communicating computers.

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Intersubjectivity Objection“TREE”

I

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Intersubjectivity Objection

• Two subjects attribute the sameinformation to the word ‘tree’.

• Without intersubjectivity, communication is impossible.

• Intersubjectivity and communicating computers.

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Intersubjectivity Objection

• Gottlob Frege explains1 why EMST must be incorrect: “It would be impossible for something one man said to contradict what another man said, because the two would not express the same thought, but each his own.”

1See Picardi (1996, Section ‘Frege’s anti-psychologism’)

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Intersubjectivity Objection“TREE”

I

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Intersubjectivity Objection“TREE”

I1

I2

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Intersubjectivity Objection“TREE”

I1

I2

I1 ≠≠≠≠ I2

EMST

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Intersubjectivity Objection

• Similarity plays a crucial role in meeting the objection.

• Jonathan Lowe says1: “[I]t is hard to see how there can be any intersubjective, publicly available criterion for the similarity of ideas occurring in two different minds.”

• We will suggest such a criterion.

1See Lowe (1995, p. 151)

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Intersubjectivity Objection

• Web-similarity criterion: Two ideas are web-similar if and only if they are related in the same way to other web-similar

ideas.

• This criterion assumes two webs-of-ideas within two different subjects A and B.

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Intersubjectivity ObjectionWeb-of-ideas of Subject A

1A

2A

3A

4A

1B

2B

3B

4B

Web-similar

1A = 1B

Web-of-ideas of Subject B

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Intersubjectivity Objection

• Web-similarity = intersubjective, publicly available criterion.

Subject A Subject B

snowA

blackA

snowB

whiteB

“Snow is black”

“Snow is white”

blackBwhiteA

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Self-Applicability Objection

• Application criteria: observable similarity.

• For example the idea ‘tree’.

• However, applying ideas to reality leads to an infinite regress1 of interpreting the interpretation of an interpretation, etc.

1See Lowe (1995, p.164) and Stokhof (2003, pp. 48-49)

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Self-Applicability Objection

Reality

Inside subject

?

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Self-Applicability Objection

• Only way out: ideas are self-applying.

• Wittgenstein and Stokhof1: self-applying ideas are not plausible.

• Lowe2: self-applying ideas are plausible.

• Compare ideas with coin-slots in an automatic vending machine.

1See Stockhof (2003, p. 40) and Wittgenstein (1958, p. 37)

2See Lowe (1995, pp. 164-165)

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Self-Applicability Objection

1 e

uro

ce

nt

coin

s

10 e

uro

cent

co

ins

1 e

uro

coin

s

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Abstract-Ideas Objection

• According to John Locke1 the idea ‘triangle’: “must be neither Oblique, nor Rectangle, neither Equilateral, Equicrural, nor Scalenon; but all and none of these at once.”

• That is: the idea ‘triangle’ must be indeterminate with respect to certain properties.

1See Locke (1690, Section IV.vii.9)

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Abstract-Ideas Objection

Idea ‘triangle’?

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Abstract-Ideas Objection

• Therefore1: “the idea of man I frame to my self, must be either of a white, or a black, or a tawny, a straight, or a crooked, a tall or a low, or a middle-sized man.”

• Since image-like ideas cannot be indeterminate, EMST is incorrect because it cannot explain the existence of abstract ideas.

1See Bennett (1971, p. 36)

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Abstract-Ideas Objection

• What if ideas are not image-like?

• Locke and others1 hint at ideas being pattern-like, but do not elaborate.

• Maybe pattern-like ideas can be indeterminate and represent all types of triangles.

1See Lowe (1995, p. 156) and Locke (1690, Section III.iii.19 and Section III.iv.2)

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Abstract-Ideas Objection

• Regular Expression = definition of a pattern in strings of characters.

• For example: – ^[a-z0-9._%+-]+@[a-z0-9.-]+\.[a-z]{2,4}$

– “[email protected]

– “[email protected]

– “[email protected]

• Regular Expression can be indeterminate with respect to certain properties.

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Abstract-Ideas Objection

• Suggestion: Similar pattern definitions only not for strings of characters.

• Just like RegEx, can these patterns be indeterminate with respect to certain properties.

• These patterns might be able to represent all types of triangles.

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Conclusion

• Intersubjectivity Objection:– Web-of-ideas

– Web-similarity

• Self-Applicability Objection:– Ideas are slot-like (as coin-slots in vending

machines)

• Abstract-Ideas Objection:– Ideas are pattern-like (analogous to RegEx)

• Updated EMST is just a first step!

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Further Research / Discussion

• Web-of-ideas: Is it plausible and what are their properties?

• Slot-like ideas: Are they compatible with current knowledge about the brain?

• Pattern-like ideas: Are they powerful enough to account for meanings of all words?

• Web-of-ideas: What is their relation to semantic structures?

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Semantic Structure

Source: http://www.carp-technologies.nl/nld/images/stories/q&a/sem2.gif