We study evolutionary game theory in a setting where individuals learn from each other. We extend the traditional approach by assuming that a population contains individuals with different learning abilities. In particular, we explore the situation where individuals have different search spaces, when attempting to learn the strategies of others. The search space of an individual specifies the set of strategies learnable by that individual. The search space is genetically given and does not change under social evolutionary dynamics. We introduce a general framework and study a specific example in the context of direct reciprocity. For this example, we obtain the counter intuitive result that cooperation can only evolve for intermediate benefit-to-cost ratios, while small and large benefit-to-cost ratios favor defection. Our paper is a step toward making a connection between computational learning theory and evolutionary game dynamics.
Journal of Theoretical Biology
161 - 173
Chatterjee K, Zufferey D, Nowak M. Evolutionary game dynamics in populations with different learners. Journal of Theoretical Biology. 2012;301:161-173. doi:10.1016/j.jtbi.2012.02.021
Chatterjee, K., Zufferey, D., & Nowak, M. (2012). Evolutionary game dynamics in populations with different learners. Journal of Theoretical Biology, 301, 161–173. https://doi.org/10.1016/j.jtbi.2012.02.021
Chatterjee, Krishnendu, Damien Zufferey, and Martin Nowak. “Evolutionary Game Dynamics in Populations with Different Learners.” Journal of Theoretical Biology 301 (2012): 161–73. https://doi.org/10.1016/j.jtbi.2012.02.021.
K. Chatterjee, D. Zufferey, and M. Nowak, “Evolutionary game dynamics in populations with different learners,” Journal of Theoretical Biology, vol. 301, pp. 161–173, 2012.
Chatterjee K, Zufferey D, Nowak M. 2012. Evolutionary game dynamics in populations with different learners. Journal of Theoretical Biology. 301, 161–173.
Chatterjee, Krishnendu, et al. “Evolutionary Game Dynamics in Populations with Different Learners.” Journal of Theoretical Biology, vol. 301, Elsevier, 2012, pp. 161–73, doi:10.1016/j.jtbi.2012.02.021.
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