Evolution of Self-Interested Agents: An Experimental Study
Naoki Yamada and Chiaki Sakama
Proceedings of the
7th Multi-Disciplinary International Workshop on Artificial Intelligence (MIWAI),
Lecture Notes in Artificial Intelligence 8271, Springer-Verlag, pages 329-340, 2013.
Abstract
In this paper, we perform an experimental study to examine the evolution of
self-interested agents in cooperative agent societies.
To this end, we realize a multiagent system in which agents initially behave altruistically
by sharing information of food. After generations of a genetic algorithm,
we observe the emergence of selfish agents who do not share food information.
The experimental results show the process of evolving self-interested agents
in resource-restrictive environments, which is observed in nature and in human society.
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