论文信息 - Computational Models: Why Build Them?

Computational Models: Why Build Them?

The term ‘computational model’ is used for a theory that is stated definitely enough that precise reasoning (not necessarily numerical) can be performed on it to infer the course of system behavior. Nowadays, such a theory is often expressed as a computer program, the computer tracing the system's path. Keywords: symbols; theories of cognition; information processing

Herbert A. Simon | H. Simon

[1] A. Newell. You can't play 20 questions with nature and win : projective comments on the papers of this symposium , 1973 .

[2] Allen Newell,et al. Computer science as empirical inquiry: symbols and search , 1976, CACM.

[3] Edward E. Smith,et al. Strategies and classification learning , 1981 .

[4] A. Tversky,et al. The framing of decisions and the psychology of choice. , 1981, Science.

[5] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[6] Herbert A. Simon,et al. Context effects in letter perception: comparison of two theories. , 1988, Psychological review.

[7] Herbert A. Simon,et al. Causality and Model Abstraction , 1994, Artif. Intell..

[8] Hermina J. M. Tabachneck-Schijf,et al. CaMeRa: A Computational Model of Multiple Representations , 1997, Cogn. Sci..