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.

1. What is Mind Design? John Haugeland 2. Computing Machinery and Intelligence A. M. Turing 3. True Believers: The Intentional Strategy and Why It Works Daniel C. Dennett 4. Computer Science as Empirical Inquiry: Symbols and Search Allen Newell and Herbert A. Simon 5. A Framework for Representing Knowledge Marvin Minsky 6. From Micro-Worlds to Knowledge Representation: AI at an Impasse Hubert L. Dreyfus 7. Minds, Brains, and Programs John R. Searle 8. The Architecture of Mind: A Connectionist Approach David E. Rumelhart

John Haugeland is Associate Professor of Philosophy at the University of Pittsburgh and the editor of Mind Design: Essays in Philosophy, Psychology, and Artificial Intelligence.

등록된 사용후기

사용후기 쓰기 새 창 더보기

사용후기가 없습니다.

등록된 상품문의

상품문의 쓰기새 창 더보기

상품문의가 없습니다.

배송정보

교환/반품 정보