TY - GEN
T1 - Spread of cooperation in complex agent networks based on expectation of cooperation
AU - Shibusawa, Ryosuke
AU - Otsuka, Tomoaki
AU - Sugawara, Toshiharu
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - This paper proposes a behavioral strategy called expectation of cooperation with which cooperation in the prisoner’s dilemma game spreads over agent networks by incorporating Q-learning. Recent advances in computer and communication technologies enable intelligent agents to operate in small and handy computers such asmobile PCs, tablet computers, and smart phones as delegates of their owners. Because the interaction of these agents is associated with social links in the real world, social behavior is to some degree required to avoid conflicts, competition, and unfairness that may lead to further inefficiency in the agent society. The proposed strategy is simple and easy to implement but nevertheless can spread over and maintain cooperation in agent networks under certain conditions. We conducted a number of experiments to clarify these conditions, and the results indicate that cooperation spread and wasmaintained with the proposed strategy in a variety of networks.
AB - This paper proposes a behavioral strategy called expectation of cooperation with which cooperation in the prisoner’s dilemma game spreads over agent networks by incorporating Q-learning. Recent advances in computer and communication technologies enable intelligent agents to operate in small and handy computers such asmobile PCs, tablet computers, and smart phones as delegates of their owners. Because the interaction of these agents is associated with social links in the real world, social behavior is to some degree required to avoid conflicts, competition, and unfairness that may lead to further inefficiency in the agent society. The proposed strategy is simple and easy to implement but nevertheless can spread over and maintain cooperation in agent networks under certain conditions. We conducted a number of experiments to clarify these conditions, and the results indicate that cooperation spread and wasmaintained with the proposed strategy in a variety of networks.
UR - http://www.scopus.com/inward/record.url?scp=84984794900&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-44832-9_5
DO - 10.1007/978-3-319-44832-9_5
M3 - Conference contribution
AN - SCOPUS:84984794900
SN - 9783319448312
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 76
EP - 91
BT - Princiles and Practice of Multi-Agent Systems - 19th International Conference, PRIMA 2016, Proceedings
A2 - Baldoni, Matteo
A2 - Hirayama, Katsutoshi
A2 - Torroni, Paolo
A2 - Son, Tran Cao
A2 - Chopra, Amit K.
PB - Springer Verlag
T2 - 19th International Conference on Princiles and Practice of Multi-Agent Systems, PRIMA 2016
Y2 - 22 August 2016 through 26 August 2016
ER -