Abstract
This chapter shows the agent based approach to solve the tragedy of the common. The tragedy of the common is known to treat the problem that is how to manage the limited common resource. In the agent-based approach, a meta-agent is introduced to restrict the activity of agents by charging levies. It is supposed that the meta-agent and the agents don’t know the payoff function explicitly. Under this setting, the meta-agent try to make levy plan to restrict the agent activity and the agents tries to make the prediction of payoffs for decision making. To create the levy plan and prediction of payoffs, the genetic algorithms are used in each agent. Throughout the experiments, the formation of the levy plan and the prediction of payoffs to avoid the tragedy are shown.
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© 2001 Springer-Verlag Berlin Heidelberg
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Suzuki, K. (2001). Effects of Punishment into Actions in Social Agents. In: Terano, T., Ohsawa, Y., Nishida, T., Namatame, A., Tsumoto, S., Washio, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2001. Lecture Notes in Computer Science(), vol 2253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45548-5_19
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DOI: https://doi.org/10.1007/3-540-45548-5_19
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