Mind design : philosophy, psychology, artificial intelligence
著者
書誌事項
Mind design : philosophy, psychology, artificial intelligence
MIT Press, c1997
Rev. and enl. ed
- 2 : hc
- 2 : pbk
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注記
"A Bradford book."
Bibliography: p. [455]-476
内容説明・目次
- 巻冊次
-
2 : hc ISBN 9780262082594
内容説明
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.ContributorsRodney 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
目次
- What is mind design? John Haugeland
- Computing machinery and intelligence, A.M. Turing
- True believers - the intentional strategy and why it works, Daniel C. Dennett
- Computer science as empirical inquiry - symbols and search, Allen Newell, Herbert A. Simon
- A framework for representing knowledge, Marvin Minsky
- From micro-worlds to knowledge representation - AI at an impasse, Hubert L. Dreyfus
- Minds, brains, and programs, John R. Searle
- The architecture of mind - a connectionist approach, David E. Rumelhart
- Connectionist modelling - neural computation/mental connections, Paul Smolensky
- On the nature of theories - a neurocomputational perspectives, Paul M. Churchland
- Connectionism and cognition, Jay F. Rosenberg
- Connectionism and cognitive architecture - a critical analysis, Jerry A. Fodor, Zenon W. Pylyshyn
- Connectionism, eliminativism, and the future of folk psychology, William Ramsey et al
- The presence of a symbol, Andy Clark
- Intelligence without representation, Rodney A. Brooks
- Dynamics and cognition, Timothy van Gelder.
- 巻冊次
-
2 : pbk ISBN 9780262581530
内容説明
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
目次
- What is mind design? John Haugeland
- Computing machinery and intelligence, A.M. Turing
- True believers - the intentional strategy and why it works, Daniel C. Dennett
- Computer science as empirical inquiry - symbols and search, Allen Newell, Herbert A. Simon
- A framework for representing knowledge, Marvin Minsky
- From micro-worlds to knowledge representation - AI at an impasse, Hubert L. Dreyfus
- Minds, brains, and programs, John R. Searle
- The architecture of mind - a connectionist approach, David E. Rumelhart
- Connectionist modelling - neural computation/mental connections, Paul Smolensky
- On the nature of theories - a neurocomputational perspectives, Paul M. Churchland
- Connectionism and cognition, Jay F. Rosenberg
- Connectionism and cognitive architecture - a critical analysis, Jerry A. Fodor, Zenon W. Pylyshyn
- Connectionism, eliminativism, and the future of folk psychology, William Ramsey et al
- The presence of a symbol, Andy Clark
- Intelligence without representation, Rodney A. Brooks
- Dynamics and cognition, Timothy van Gelder.
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