Evolutionary Game Theory
Contact Person: Dr. Heinrich Nax
Duration: 06/2014 - present
Funding: ETH Zürich
Evolutionary game theory combines the mathematical models of game theory with the insights from evolutionary biology and behavioral studies. We aim to understand the dynamics underlying population interactions, and contribute to New Economic Thinking (please also refer to New Economic Thinking).
This project is related to the ERC Momentum project.
Heinrich H. Nax, Maxwell N. Burton-Chellew, Stuart A. West, H. Peyton Young, (2016). Learning in a black box.
Journal of Economic Behavior & Organization, 127: 1-15.
Heinrich H. Nax, and Bary S.R. Pradelski. (2016). Core stability and core selection in a decentralized labor matching market. Games, 7.10: 1-16.
Heinrich H. Nax and Alexandros Rigos. (2016). Assortativity evolving from social dilemmas. Journal of Theoretical Biology, , 395: 194–203.
Micheal Mäs and Heinrich H Nax. (2016). A behavioral study of “noise” in coordination games. Journal of Economic Theory 162: 195-208.
Heinrich H Nax. (2015). Equity dynamics in bargaining without information exchange. Journal of Evolutionary Economics, 25.5 (2015): 1011-1026.
Heinrich H Nax and Bary SR Pradelski. (2015). Evolutionary dynamics and equitable core selection in assignment games. International Journal of Game Theory, 44.4 (2015): 903-932.
Heinrich H. Nax, Matjaž Perc, Attila Szolnoki, and Dirk Helbing. (2015). Stability of cooperation under image scoring in group interactions. Scientific Reports 5: 12145.
Maxwell N Burton-Chellew, Heinrich H Nax, and Stuart West. (2015). Payoff-based learning explains the decline in cooperation in public goods games. Proceedings of the Royal Society of London B 282: 20142678.
Heinrich H Nax and Matjaz Perc. (2015). Directional learning and the provisioning of public goods. Scientific Reports 5: 8010.
Heinrich H Nax, Bary SR Pradelski, and H Peyton Young. (2013). Decentralized dynamics to optimal and stable states in the assignment game. IEEE Proceedings 52(CDC): 2398-2405.