Pattern Formation by Collective Behavior of Competing Cellular Automata-Based Agents

被引:0
|
作者
Szaban, Miroslaw [1 ]
Seredynski, Michal [1 ]
Hoffmann, Rolf [2 ]
Deserable, Dominique [3 ]
Seredynski, Franciszek [1 ]
机构
[1] Univ Siedlce, Inst Comp Sci, Siedlce, Poland
[2] Tech Univ Darmstadt, Darmstadt, Germany
[3] Inst Natl Sci Appl, Rennes, France
来源
CELLULAR AUTOMATA, ACRI 2024 | 2024年 / 14978卷
关键词
Collective behavior; Competing Cellular Automata; Nash equilibria; Pattern Formation; Spatial Prisoner's Dilemma game;
D O I
10.1007/978-3-031-71552-5_4
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We propose a novel game-theoretic multi-agent system approach to create a desired 2D pattern. We interpret a pattern formation problem as a variant of the iterated Spatial Prisoner's Dilemma game, where evolutionary competing CA-based agents are used as learning machines. We design a payoff function reflecting a local goal of CA-based agent-players, and we show that the system of competing players is able to reach a Nash equilibrium, providing at the same time the maximization of a global criterion unknown for the agents that is related to the considered pattern formation problem. We provide experimental results showing a high performance of the pattern formation process.
引用
收藏
页码:34 / 44
页数:11
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