Mind Design II: Philosophy, Psychology, Artificial Intelligence
""Ming Design II" is a welcome update of its predecessor, itself a useful compendium on the philosophy of cognitive science. This new volume retains the intellectual foundations, and some discussions of classical AI built on them, while adding connectionism, situated AI, and dynamic systems theory as extra storeys. Which of these is the most stable, and whether the foundations need to be re-worked, are questions readers will be eager to explore."
-- Margaret A. Boden, Professor of Philosophy and Psychology, University of Sussex, UK
"Haugeland's "Mind Design II" brings together nearly all the essential philosophical perspectives in Cognitive Science. If you want to understand current opinion on the philosophy of mind, you should make sure you are familiar with the contents of this book."
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 recentarticles 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
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What Is Mind Design?
Computing Machinery and Intelligence
A Framework for Representing Knowledge
From MicroWorlds to Knowledge
Minds Brains and Programs
Connectionism and Cognition
Connectionism Eliminativism and
The Presence of a Symbol
Intelligence without Representation
Dynamics and Cognition