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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=91118"><dc:title>The self-organizing impact of averaged payoffs on the evolution of cooperation</dc:title><dc:creator>Szolnoki,	Attila	(Avtor)
	</dc:creator><dc:creator>Perc,	Matjaž	(Avtor)
	</dc:creator><dc:subject>evolutionary game theory</dc:subject><dc:subject>cooperation</dc:subject><dc:subject>learning</dc:subject><dc:subject>social physics</dc:subject><dc:description>According to the fundamental principle of evolutionary game theory, the more successful strategy in a population should spread. Hence, during a strategy imitation process a player compares its payoff value to the payoff value held by a competing strategy. But this information is not always accurate. To avoid ambiguity a learner may therefore decide to collect a more reliable statistics by averaging the payoff values of its opponents in the neighborhood, and makes a decision afterwards. This simple alteration of the standard microscopic protocol significantly improves the cooperation level in a population. Furthermore, the positive impact can be strengthened by increasing the role of the environment and the size of the evaluation circle. The mechanism that explains this improvement is based on a self-organizing process which reveals the detrimental consequence of defector aggregation that remains partly hidden during face-to-face comparisons. Notably, the reported phenomenon is not limited to lattice populations but remains valid also for systems described by irregular interaction networks.</dc:description><dc:date>2021</dc:date><dc:date>2024-11-08 03:07:16</dc:date><dc:type>Znanstveno delo</dc:type><dc:identifier>91118</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
