A Bargaining Game Design Using Co-Evolution Analysis between Artificial Agents
نویسندگان
چکیده
In this paper, we present the interaction and co-evolutionary process between genetic algorithm-based agent (GA-based agent) and particle swarm optimization-based agent (PSO-based agent) in the bargaining game. Experimental results show that a PSO-based agent evolves a greedy agent even though the deal can't be accomplished but a GA-based one evolves a passive agent to accomplish a deal. Because of the tendencies of these two artificial agents, the PSO-based agent outperforms the GA-based agent in the bargaining game.
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