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Titolo:
New methods for solving the Rescorla-Wagner model
Autore:
Yamaguchi, M;
Indirizzi:
Waseda Univ, Dept Psychol, Toyama, Tokyo 1628644, Japan Waseda Univ Toyama Tokyo Japan 1628644 chol, Toyama, Tokyo 1628644, Japan
Titolo Testata:
BEHAVIOR RESEARCH METHODS INSTRUMENTS & COMPUTERS
fascicolo: 4, volume: 31, anno: 1999,
pagine: 684 - 688
SICI:
0743-3808(199911)31:4<684:NMFSTR>2.0.ZU;2-#
Fonte:
ISI
Lingua:
ENG
Soggetto:
CONTINGENCY JUDGMENT; CAUSALITY JUDGMENTS; CUE COMPETITION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Citazioni:
12
Recensione:
Indirizzi per estratti:
Indirizzo: Yamaguchi, M Waseda Univ, Dept Psychol, Toyama, Tokyo 1628644, Japan Waseda Univ Toyama Tokyo Japan 1628644 Tokyo 1628644, Japan
Citazione:
M. Yamaguchi, "New methods for solving the Rescorla-Wagner model", BEHAV RE ME, 31(4), 1999, pp. 684-688

Abstract

Two new methods for generating predictions from the Rescorla-Wagner model are presented. One is to solve the simultaneous equations of the model as differential equations, and the other is to solve them as difference equations, by using recent computer software. The model has been described in terms of simultaneous difference equations, and its predictions have traditionally been derived by performing an iterative computer simulation. But the Limit can be taken, and the model can be considered in terms of simultaneous differential equations. Computer software, such as Mathematica and Maple, can solve simultaneous differential or difference equations. The author shows how to use Mathematica for some experimental paradigms, from simple acquisition to more complex cue competition paradigms, and also explains the rule for constructing input. The relative merits of these methods and of simulation are discussed.

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Documento generato il 02/04/20 alle ore 19:20:24