Stable mixing in Hawk-Dove Games under best experienced
成果类型:
Article
署名作者:
Arigapudi, Srinivas; Heller, Yuval
署名单位:
Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kanpur; Bar Ilan University
刊物名称:
GAMES AND ECONOMIC BEHAVIOR
ISSN/ISSBN:
0899-8256
DOI:
10.1016/j.geb.2025.03.003
发表日期:
2025
页码:
148-161
关键词:
Hawk-Dove Game
Chicken game
learning
evolutionary stability
Best experienced payoff dynamics
摘要:
The hawk-dove game admits two types of equilibria: an asymmetric pure equilibrium, in which players in one population play hawk and players in the other population play dove, and a symmetric mixed equilibrium, in which hawks are frequently matched against each other. The existing literature shows that when two populations of agents are randomly matched to play the hawk-dove game, then there is convergence to one of the pure equilibria from almost any initial state. By contrast, we show that plausible dynamics, in which agents occasionally revise their actions based on the payoffs obtained in a few trials, often give rise to the opposite result: convergence to one of the interior stationary states.