This paper shows an agent based approach to solve the Tragedy of the Commons. This game is one of the well-known problems that involve sharing limited common resources. In this paper, to control the usage of common resources, we employ Levy Based Control Strategy and extend it with Autonomous Role Selection. In this approach, what levy plan of meta-agents should be used is very important to avoid the tragedy situation. Accordingly, we apply Genetic Algorithm (GA) to each agent to obtain evolutionally suitable levy plan. As a result, we show effectiveness of this approach and it depends on a fitness function of GA. Therefore, we examine the various fitness functions considered for a social balance and the importance of agents’ role by simulations.
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Kenta, O., Keiji, M., Keiji, S. (2007). Balancing Sociality in Meta-agent Approach. In: Mukhopadhyay, S.C., Gupta, G.S. (eds) Autonomous Robots and Agents. Studies in Computational Intelligence, vol 76. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73424-6_27
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DOI: https://doi.org/10.1007/978-3-540-73424-6_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73423-9
Online ISBN: 978-3-540-73424-6
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