Best Experienced Payoff Dynamics and Cooperation in the Centipede Game∗ William H. Sandholmy, Segismundo S. Izquierdoz, and Luis R. Izquierdox March 7, 2019 Abstract We study population game dynamics under which each revising agent tests each of his strategies a fixed number of times, with each play of each strategy being against a newly drawn opponent, and chooses the strategy whose total payoff was highest. In the Centipede game, these best experienced payoff dynamics lead to cooperative play. When strategies are tested once, play at the almost globally stable state is concentrated on the last few nodes of the game, with the proportions of agents playing each strategy being largely independent of the length of the game. Testing strategies many times leads to cyclical play. ∗We thank Dan Friedman, Drew Fudenberg, Ken Judd, Panayotis Mertikopoulos, Erik Mohlin, Ignacio Monzon,´ Arthur Robson, Marzena Rostek, Ariel Rubinstein, Larry Samuelson, Ryoji Sawa, Andy Skrzypacz, Lones Smith, Mark Voorneveld, Marek Weretka, and especially Antonio Penta for helpful discussions and comments. Financial support from the U.S. National Science Foundation (SES-1458992 and SES- 1728853), the U.S. Army Research Office (W911NF-17-1-0134 MSN201957), project ECO2017-83147-C2-2-P (MINECO/AEI/FEDER, UE), and the Spanish Ministerio de Educacion,´ Cultura, y Deporte (PRX15/00362 and PRX16/00048) is gratefully acknowledged. yDepartment of Economics, University of Wisconsin, 1180 Observatory Drive, Madison, WI 53706, USA. e-mail:
[email protected]; website: www.ssc.wisc.edu/~whs. zBioEcoUva Research Institute on Bioeconomy. Department of Industrial Organization, Universidad de Valladolid, Paseo del Cauce 59, 47011 Valladolid, Spain.