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Full Description
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.
Contents
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
