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Artificial intelligence and cognitive science: Vol 1. Machine intelligence: perspectives on the computational model
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Artificial intelligence and cognitive science: Vol 1. Machine intelligence: perspectives on the computational model

Artificial intelligence and cognitive science: Vol 1. Machine intelligence: perspectives on the computational model

Conceptual issues

400 pages, parution le 31/10/1998

Résumé

Volume 1: Machine Intelligence: Perspectives on the Computational Model

Beginning with a seminal paper by Alan Turing, the first section presents both the leading ideas behind the vision of mentality as computation and some major critiques of that vision. Section two clarifies the nature of the initial research, paying special attention to such questions as: why should we suppose that the computational level of description provides the most appropriate means of understanding psychological facts' If we do use computational descriptions, what kind of computational model is indicated' What are the alternatives to the use of computational models and how do we judge the success or failure of the models themselves' The volume ends with a discussion of the key concepts of computation, symbol, information, and representation.

Table of contents

Introduction ..... vii
Machine Intelligence: The Very Idea
Computing Machinery and Intelligence    A.M. Turing ..... 1
Semantic Engines: An Introduction to Mind Design    John Haugeland ..... 29
Mind, Brains, and Programs    John R. Searle ..... 64
The Symbol Grounding Problem    Stevan Harnad ..... 89
Could a Machine Think?    Paul M. Churchland and Patricia Smith Churchland ..... 102
On Implementing a Computation    David J. Chalmers ..... 109
Psychology, Biology, and Levels of Explanation
You Can't Play 20 Questions with Nature and Win:
Projective Comments on the Papers of this Symposium    Allen Newell ..... 121
Artificial Intelligence: A Personal View    D. Marr ..... 147
Real Brains and Artificial Intelligence    George N. Reeke Jr. and Gerald M. Edelman ..... 159
Making a Mind Versus Modeling the Brain:
Artificial Intelligence Back at a Branchpoint    Hubert L. Dreyfus and Stuart E. Dreyfus ..... 191
Information, Computation, and Representation
What Is Information'    David Israel and John Perry ..... 221
When Is Information Explicitly Represented'    David Kirsh ..... 240
Machines and the Mental    Fred Dretske ..... 267
Ways of Establishing Harmony    Daniel C. Dennett ..... 278
Acknowledgments ..... 291

Caractéristiques techniques

  PAPIER
Éditeur(s) Garland
Parution 31/10/1998
Nb. de pages 400
EAN13 9780815327684

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