Abstract
In this paper, to analyze equilibrium selection and coordination failure in coordination games, we develop an agent-based simulation system in which artificial adaptive agents have a mechanism of decision making and learning based on neural networks and genetic algorithms. Using the simulation system, we examine the strategy choices of agents and formation of equilibria in the steady state, and compare the experimental result given by VanHuyck et al. (1990) with our simulation result.
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Nishizaki, I., Hayashida, T., Katagiri, H., Hara, N. (2009). Agent-Based Simulation Analysis for Equilibrium Selection and Coordination Failure in Coordination Games Characterized by the Minimum Strategy. In: Håkansson, A., Nguyen, N.T., Hartung, R.L., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2009. Lecture Notes in Computer Science(), vol 5559. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01665-3_63
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DOI: https://doi.org/10.1007/978-3-642-01665-3_63
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