Seeking Equilibrium Leads to Chaos: Multiple Equilibria Regulation Model
AbstractIn this paper, we shall present a model of opinion dynamics called Multiple Equilibria Regulation (MER) Model which, concerning social equilibrium, is based on the Bounded Confidence (BC) Modelâ€™s procedures and, it takes under consideration an agentsâ€™ internal (â€œintra-individualâ€) regulation structure among different opinions regarding the same social issue. First, we give a detailed description of the model and define its parameters. Then, we explore this nonlinear model by a series of computer simulations for a variety of parameterâ€™ values. Next, we examine under what conditions the model exhibits sensitive dependence on initial conditions and, finally, we calculate the Lyapunov Exponents and the Information Entropy. Our results show that for certain parameterâ€™ values, the system exhibits sensitivity of final state to initial state, thus it is chaotic (deterministic and unpredictable). Hence, by combining two psychosocial principles that both tend to certainty (stability) we obtain an uncertainty (unpredictability) concerning the outcome of the system.
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Bibliographic InfoArticle provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.
Volume (Year): 7 (2004)
Issue (Month): 2 ()
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Opinion dynamics; social; intra-individual; equilibrium; sensitivity to initial conditions; unpredictability; transient chaos;
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- Andreas Koulouris & Ioannis Katerelos & Theodore Tsekeris, 2013. "Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(1), pages 51-70.
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