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TCS: Tasmanian Connectionist Simulator

TCS (Tasmanian Connectionist Simulator) is a neural network simulation package written in Borland C++ for MS Windows. Examples include an interactive activation network for 4-letter words, the Rescorla-Wagner model of classical conditioning, Schnys's Clustering Network (uses a non-supervised Kohonen-style learning rule), and an XOR network using backpropagation.
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Version: 4-AUG-93 Requires: C++, Microsoft Windows CD-ROM: Prime Time Freeware for AI, Issue 1-1 Author(s): Dr Zoltan Schreter . Department of Psychology University of Tasmania GPO Box 252C Hobart, Tasmania 7001 AUSTRALIA Tel: +61 02 20 2887 Fax: +61 02 20 2883 Keywords: Authors!Schreter, Backpropagation, C++!Code, Conditioning, Connectionist Systems, Extinction, Kohonen, Machine Learning!Neural Networks, Neural Networks!Simulators, TCS, XOR Contains: exe*.zip Compiled executable versions of the examples TCS, including C++ source, manuals, and examples References: McClelland, J.L. and Rumelhart, D., "An interactive activation model of context effects in letter perception", Part1, Psychological Review, 88:375-407, 1981. Rescorla, R.A. and Wagner, A.R., "A theory of Psvlovian conditioning: variations in the effectiveness of reinforcement and non-reinforcement", in Black, A.H. and Prokasy W.F. (Eds.), Classical conditioning (Vol 2). New York: Appleton-Century-Crofts. Schnys, P.G., "A modular neural network model of concept acquisition", Cognitive Science 15:461-508, 1991.
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