The Dose Makes The Cooperation
29 May 2019, 14:00-15:00 @Cibali Hall, Kadir Has University
Abstract: We propose to reformulate the payoff matrix structure of Prisoner’s Dilemma (PD) Game, by introducing threat and greed factors, and show their effect on the co-evolution of memory and cooperation. Our findings are as follows. (i) Memory protects cooperation. (ii) To our surprise, greater memory size is unfavorable to evolutionary success when there is no threat. In the absence of threat, subsequent generations lose their memory and are consequently invaded by defectors. (iii) In contrast, the presence of an appropriate level of threat triggers the emergence of a self-protection mechanism for cooperation, which manifests itself as an increase in memory size within subsequent generations. On the evolutionary level, memory size acts like an immune response of the generations against aggressive defection. (iv) Even more extreme threat results again in defection. Our findings boil down to the following: The dose of the threat makes the resistance for cooperation.
https://doi.org/10.1142/S0219525916500156
Speaker Biography: Uzay Çetin received his master’s degree in artificial intelligence from Pierre and Marie Curie University (PARIS VI) and his doctoral degree in complex systems from Bogazici University. He has joined to Istanbul Bilgi University Computer Engineering department as a faculty member in 2017. He organizes free machine learning (ML) courses to young people in Sarıyer Municipality (http://bit.ly/yapayzeka04) and he works as a ML consultant with different firms. He also organizes multi-disciplinary workshops on complex systems and data science (http://bit.ly/kahve2019).
Uzay Çetin is interested in computational social science, data science, artificial intelligence, complex systems and complex networks. Currently he is working on classifying texts based on their co-occurrence graphs, he is also working to improve the capabilities of agent-based models in order to use them for prediction just like the standard machine learning algorithms.
Webpage: https://uzay00.github.io/
https://scholar.google.com.tr/citations?user=Rdie--MAAAAJ&hl=en