ATTITUDES, IDEOLOGIES AND SELF-ORGANIZATION: INFORMATION LOAD MINIMIZATION IN MULTI-AGENT DECISION MAKING
Kirsty Kitto () and
Fabio Boschetti ()
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Kirsty Kitto: Information Systems School, Queensland University of Technology, 2 George Street, Brisbane, 4000, Australia
Fabio Boschetti: Marine Research, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Private Bag 5, Wembley 6913, Australia;
Advances in Complex Systems (ACS), 2013, vol. 16, issue 02n03, 1-37
Sophisticated models of human social behavior are fast becoming highly desirable in an increasingly complex and interrelated world. Here, we propose that rather than taking established theories from the physical sciences and naively mapping them into the social world, the advanced concepts and theories of social psychology should be taken as a starting point, and used to develop a new modeling methodology. In order to illustrate how such an approach might be carried out, we attempt to model thelow elaborationattitude changes of a society of agents in an evolving social context. We propose a geometric model of an agent in context, where individual agent attitudes are seen to self-organize to form ideologies, which then serve to guide further agent-based attitude changes. A computational implementation of the model is shown to exhibit a number of interesting phenomena, including a tendency for a measure of the entropy in the system to decrease, and a potential for externally guiding a population of agents toward a new desired ideology.
Keywords: Context; attitudes; information; quantum decision theory; self-organization (search for similar items in EconPapers)
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