Neural network model of serial learning

Authors:
H. A. Broadbent;J. Lucas
Affiliations:
Department of Psychology, Box 1853 - Walter S. Hunter Laboratories, Brown University, Providence, RI;Fixed Income Research, Morgan Stanley & Co., Inc., 1251 Ave. of the Americas, New York, NY
Venue:
APL '89 Conference proceedings on APL as a tool of thought
Year:
1989

Citing 2
Cited 1

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Abstract

A brief introduction to neural networks is given, and correspondences between the elements of such networks and the primitive objects of APL are indicated. A neural network model is presented for simulating serial learning, the ability of an animal to respond in a prescribed sequence to an array of stimuli presented simultaneously. The particular network presented is intended to model stimulus-response (s-r) chaining, a behaviorist theory of serial learning. Some results obtained from running the network are discussed.