Wittgenstein and Artificial Intelligence, Volume I

Introduction; Brian Ball, Alice C. Helliwell and Alessandro Rossi; Chapter 1. Wittgenstein and Turing on AI: Myth Versus Reality, Diane Proudfoot; Chapter 2. Between Wittgenstein and Turing: Enactive Embodied Thinking Machines, Tomi Kokkonen and Ilmari Hirvonen; Chapter 3. Wittgenstein, Psychological Language and AI, Arturo Vázquez Hernández; Chapter 4. The Metonymical Trap, Éloïse Boisseau; Chapter 5. The Forms of Artificially Intelligent Life: Brandom, Chomsky and Wittgenstein on the Possibility of Strong-AI, Laith Abdel-Rahman; Chapter 6. Black Boxes, Beetles and Beasts, Ian Ground; Chapter 7. Language Models and the Private Language Argument: A Wittgensteinian Guide to Machine Learning, Giovanni Galli; Chapter 8. Simplification without Falsification: The Problem of Relevance in Logic and AI, Oskari Kuusela; Chapter 9. Modelling Analogical Reasoning: One-Size-Fits-All?, Ioannis Votsis; Notes on Contributors; Index

Wittgenstein and AI makes for fascinating reading as it engages Wittgenstein’s enactivist philosophy to explore the conceptual and real possibilities of “thinking machines”. Wittgenstein proves an indispensable partner in our attempts to understand and develop the future interaction between humans and machines, their moral status and possible clashes with our human form of life.’ — Danièle Moyal-Sharrock, Professor of Philosophy, University of Hertfordshire; President of the British Wittgenstein Society