title: Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation
author: Ron Sun
description: This book explores the intersection between cognitive sciences and social sciences. It explores the relation between the individual mind and the social processes through computational modeling and simulation of both. The two sides bring with them enormous intellectual capitals. These intellectual capitals can be profitably leveraged in creating true synergy between the two fields, leading to more in-depth studies and a better understanding of both individual cognition and sociocultural processes.
zlib_text: Merge Forward and Backward Models.doc: 8087 Words
  WHERE FORWARD-LOOKING AND BACKWARD-LOOKING
  MODELS MEET*
  Peter J. Burke
  Louis N. Gray
  Washington State University
  Draft Copy, Do Not Cite or Quote Without Permission.
                                                  
  * Prepared for the "Evolutionary Games and Networks" session of the Mathematical Sociology Section of
  the American Sociological Association 1997 meetings in Toronto, Ontario, Canada.
  
  i
  WHERE FORWARD-LOOKING AND BACKWARD-LOOKING
  MODELS MEET
  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) mo