A Socio-Psychological Approach to the Iterated Prisoner's Dilemma

PD;computational social science;affect control theory;BayesACT;Networked Iterated Prisoner"s Dilemma;multiagent systems

Jung, Joshua

University of Waterloo

关键词: PD;    computational social science;    affect control theory;    BayesACT;    Networked Iterated Prisoner";    s Dilemma;    multiagent systems;   

Others  :  https://uwspace.uwaterloo.ca/bitstream/10012/11022/7/Jung_Joshua.pdf

瑞士|英语

来源: UWSPACE Waterloo Institutional Repository

【 摘 要 】

Affect Control Theory (ACT), as a model of human interaction, attempts to capture a part of the human psyche that tends to go overlooked in the study of Artificial Intelligence: the role of emotion in decision making. It provides an empirically derived mathematical framework for the otherwise ethereal ;;feeling;; that guide our every action, even in ways that may appear irrational. In this work, we apply BayesACT, a variant on classical ACT, to the much-studied Iterated Prisoner;;s Dilemma, showing that it appears to human players to approach the game more like a human than other computerized agents. Additionally, we expand into the networked version of this game, showing that the observed human behaviours of decision hysteresis, network structure invariance, and anti-correlation of cooperation and reward, are all emergent properties of the networked BayesACT agents.