Mind Design II Philosophy, Psychology, and Artificial Intelligence

by Haugeland, John

• ISBN13: 9780262581530
• ISBN10: 0262581531
• Edition: Revised
• Format: Paperback
• Copyright: 1997-03-06
• Publisher: The MIT Press

Summary

Mind design is the endeavor to understand mind (thinking, intellect) in terms of its design (how it is built, how it works). Unlike traditional empirical psychology, it is more oriented toward the "how" than the "what." An experiment in mind design is more likely to be an attempt to build something and make it work-as in artificial intelligence-than to observe or analyze what already exists. Mind design is psychology by reverse engineering. When Mind Designwas first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's "Computing Machinery and Intelligence") and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are "philosophical" in that they address fundamental issues and concepts; and all are "scientific" in that they are technically sophisticated and concerned with concrete empirical research. Contributors: Rodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A. M. Turing, Timothy van Gelder

Author Biography

The late John Haugeland was the David B. and Clara E. Stern Professor Emeritus in Philosophy at the University of Chicago. He was chair of the Philosophy Department from 2004–07 and the editor of two editions of Mind Design: Essays in Philosophy, Psychology, and Artificial Intelligence.

Table of Contents

What Is Mind Design?	1	(29)
John Haugeland
Computing Machinery and Intelligence	29	(28)
A. M. Turing
True Believers: The Intentional Strategy and Why It Works	57	(24)
Daniel C. Dennett
Computer Science as Empirical Inquiry: Symbols and Search	81	(30)
Allen Newell
Herbert A. Simon
A Framework for Representing Knowledge	111	(32)
Marvin Minsky
From Micro-Worlds to Knowledge Representation: Al at an Impasse	143	(40)
Hubert L. Dreyfus
Minds, Brains, and Programs	183	(22)
John R. Searle
The Architecture of Mind: A Connectionist Approach	205	(28)
David E. Rumelhart
Connectionist Modeling: Neural Computation / Mental Connections	233	(18)
Paul Smolensky
On the Nature of Theories: A Neurocomputational Perspective	251	(42)
Paul M. Churchland
Connectionism and Cognition	293	(16)
Jay F. Rosenberg
Connectionism and Cognitive Architecture: A Critical Analysis	309	(42)
Jerry A. Fodor
Zenon W. Pylyshyn
Connectionism, Eliminativism, and the Future of Folk Psychology	351	(26)
William Ramsey
Stephen Stich
Joseph Garon
The Presence of a Symbol	377	(18)
Andy Clark
Intelligence without Representation	395	(26)
Rodney A. Brooks
Dynamics and Cognition	421	(30)
Timothy van Gelder
Acknowledgments	451	(4)
Bibliography	455