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Emergence of Collective Behavior in Large Cellular Automata-Based Multi-agent Systems

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Artificial Intelligence and Soft Computing (ICAISC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11509))

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Abstract

We study conditions of emergence of collective behavior of agents acting in the two-dimensional (2D) Cellular Automata (CA) space, where each agent takes part in spatial Prisoner’s Dilemma (PD) game. The system is modeled by 2D CA evolving in discrete moments of time, where each cell-agent changes its state according to a currently assigned to its rule. Rules are initially assigned randomly to cells-agents, but during iterated game agents may replace their current rules by rules used by their neighbors. While each agent is oriented on maximization of its own profit in the game, we are interested in answering the question if and when a phenomenon of global cooperation in a large set of agents is possible. We present results of the experimental study showing conditions and degree of such cooperation.

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Correspondence to Jakub Gąsior .

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Seredyński, F., Gąsior, J. (2019). Emergence of Collective Behavior in Large Cellular Automata-Based Multi-agent Systems. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. Lecture Notes in Computer Science(), vol 11509. Springer, Cham. https://doi.org/10.1007/978-3-030-20915-5_60

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  • DOI: https://doi.org/10.1007/978-3-030-20915-5_60

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20914-8

  • Online ISBN: 978-3-030-20915-5

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