Wittgenstein and Artificial Intelligence: Mind and Language

Brian Ball; Alice C. Helliwell; Alessandro Rossi

This collection brings together work on the relevance of Wittgenstein's philosophy to the field of Artificial Intelligence (AI). Over two volumes, our contributors cover a wide range of topics from different disciplinary approaches. In this Volume (I), contributions are centred on two major themes in the philosophy of AI: questions of mind and language. Contributions include chapters on AI thought, intentionality, logic and language, as well as the relationship between Wittgenstein's thought and Turing's.

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Wittgenstein and Artificial Intelligence

Mind and Language

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Contents

Frontmatter
pp i-iv

Contents
pp v-vi

Introduction
pp 1-16

Chapter 1 - Wittgenstein and Turing on AI: Myth Versus Reality
pp 17-38

Chapter 2 - Between Wittgenstein and Turing: Enactive Embodied Thinking Machines
pp 39-60

Chapter 3 - Wittgenstein, Psychological Language and AI
pp 61-84

Chapter 4 - The Metonymical Trap
pp 85-104

Chapter 5 - The Forms of Artificially Intelligent Life: Brandom, Chomsky and Wittgenstein on the Possibility of Strong-AI
pp 105-122

Chapter 6 - Black Boxes, Beetles and Beasts
pp 123-144

Chapter 7 - Language Models and the Private Language Argument: A Wittgensteinian Guide to Machine Learning
pp 145-164

Chapter 8 - Simplification without Falsification: The Problem of Relevance in Logic and AI
pp 165-182

Chapter 9 - Modelling Analogical Reasoning: One-Size-Fits-All?
pp 183-204

Notes on Contributors
pp 205-206

Index
pp 207-212

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Mind and Language

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