Where Forward-Looking and Backward-Looking Models Meet

Peter J. Burke () and Louis N. Gray ()
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Peter J. Burke: Washington State University
Louis N. Gray: Washington State University

Computational and Mathematical Organization Theory, 1999, vol. 5, issue 2, No 1, 75-95

Abstract: Abstract The present paper begins by deriving an instantaneous formulation for the backward-looking (reinforcement based learning) satisfaction balance model of Gray and Tallman (1984). This model is then used to generate interactional data from four simulated agents in a network interaction experiment. Because this initial model does not generate stable interaction structures in the network experiment, it is altered step by step in the direction of a forward-looking (agent with goals) model that has been shown to generate such stable interaction structures. The purpose of the modifications are to learn what aspects of the forward-looking model are needed to evolve a stable interaction structure, and to learn how these aspects may be incorporated into a model that remains essentially reinforcement based.

Keywords: agency; group structure; identity theory; interaction; learning; reinforcement (search for similar items in EconPapers)
Date: 1999
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Citations: View citations in EconPapers (1)

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DOI: 10.1023/A:1009668501158

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