Abstract
We address the problem of finding the appropriate agents to interact with in n-player games. In our model an agent only requires knowledge about the payoff and identification of its partners. This information is used to update a probability distribution over candidate partners. As such, our model is applicable in any situation, be it a cooperative dilemma or a game where a Nash Equilibrium is equal to a Pareto Optimal profile.
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Mariano, P., Correia, L., Grilo, C. (2011). Selection of Cooperative Partners in n-Player Games. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21283-3_60
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DOI: https://doi.org/10.1007/978-3-642-21283-3_60
Publisher Name: Springer, Berlin, Heidelberg
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