Mind Design II

Philosophy, Psychology, and Artificial Intelligence
Edited by John Haugeland

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 Design was 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

Table of Contents

    1. 1. What Is Mind Design?

      John Haugeland

    2. 2. Computing Machinery and Intelligence

      A. M. Turing

    3. 3. True Believers: The Intentional Strategy and Why It Works

      Daniel C. Dennett

    4. 4. Computer Science as Empirical Inquiry: Symbols and Search

      Allen Newell and Herbert A. Simon

    5. 5. A Framework for Representing Knowledge

      Marvin Minsky

    6. 6. From Micro-Worlds to Knowledge Representation: AI at an Impasse

      Hubert L. Dreyfus

    7. 7. Minds, Brains, and Programs

      John R. Searle

    8. 8. The Architecture of Mind: A Connectionist Approach

      David E. Rumelhart

    9. 9. Connectionist Modeling: Neural Computation / Mental Connections

      Paul Smolensky

    10. 10. On the Nature of Theories: A Neurocomputational Perspective

      Paul M. Churchland

    11. 11. Connectionism and Cognition

      Jay F. Rosenberg

    12. 12. Connectionism and Cognitive Architecture: A Critical Analysis

      Jerry A. Fodor and Zenon W. Pylyshyn

    13. 13. Connectionism, Eliminativism, and the Future of Folk Psychology

      William Ramsey, Stephen Stich and Joseph Garon

    14. 14. The Presence of a Symbol

      Andy Clark

    15. 15. Intelligence without Representation

      Rodney A. Brooks

    16. 16. Dynamics and Cognition

      Timothy van Gelder

    17. Acknowledgments
    18. Bibliography