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Abstract: The paper aims to discuss statistical properties of the multi-agent basedmodel of competitive growth. Each of the agents is described by growth ordecay rule of its virtual -mass- with the rate affected by the interactionwith other agents. The interaction depends on the strategy vector and mutualdistance between agents and both are subjected to the agent-s individualoptimization process. Steady-state simulations yield phase diagrams with thehigh and low competition phases HCP and LCP, respectively separated bycritical point. Particular focus has been made on the indicators of thepower-law behavior of the mass distributions with respect to the criticalregime. In this regime the study has revealed remarkable anomaly in theoptimization efficiency.



Author: J. Kocisova, D. Horvath, B. Brutovsky

Source: https://arxiv.org/







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