DocumentCode :
3601526
Title :
Emotional Multiagent Reinforcement Learning in Spatial Social Dilemmas
Author :
Chao Yu ; Minjie Zhang ; Fenghui Ren ; Guozhen Tan
Author_Institution :
Sch. of Comput. Sci. & Technol., Dalian Univ. of Technol., Dalian, China
Volume :
26
Issue :
12
fYear :
2015
Firstpage :
3083
Lastpage :
3096
Abstract :
Social dilemmas have attracted extensive interest in the research of multiagent systems in order to study the emergence of cooperative behaviors among selfish agents. Understanding how agents can achieve cooperation in social dilemmas through learning from local experience is a critical problem that has motivated researchers for decades. This paper investigates the possibility of exploiting emotions in agent learning in order to facilitate the emergence of cooperation in social dilemmas. In particular, the spatial version of social dilemmas is considered to study the impact of local interactions on the emergence of cooperation in the whole system. A double-layered emotional multiagent reinforcement learning framework is proposed to endow agents with internal cognitive and emotional capabilities that can drive these agents to learn cooperative behaviors. Experimental results reveal that various network topologies and agent heterogeneities have significant impacts on agent learning behaviors in the proposed framework, and under certain circumstances, high levels of cooperation can be achieved among the agents.
Keywords :
cognitive systems; learning (artificial intelligence); multi-agent systems; topology; agent cooperation; agent heterogeneity; agent learning behavior; cooperative behavior learning; double-layered emotional multiagent reinforcement learning framework; emotional capability; internal cognitive capability; multiagent systems; network topology; selfish agent; spatial social dilemma; Adaptation models; Appraisal; Context; Educational institutions; Games; Learning systems; Psychology; Cooperation; emotions; multiagent learning; social dilemmas; social dilemmas.;
fLanguage :
English
Journal_Title :
Neural Networks and Learning Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
2162-237X
Type :
jour
DOI :
10.1109/TNNLS.2015.2403394
Filename :
7055360
Link To Document :
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