Emergence of cooperation in complex agent networks based on expectation of cooperation

Ryosuke Shibusawa; Tomoaki Otsuka; Toshiharu Sugawara

Emergence of cooperation in complex agent networks based on expectation of cooperation

Ryosuke Shibusawa, Tomoaki Otsuka, Toshiharu Sugawara

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper proposes a behavioral strategy called expectation of cooperation strategy with which cooperation in the prisoner's dilemma game emerges in agent networks by incorporating Q-learning. The proposed strategy is simple and easy to implement but nevertheless can evolve and maintain cooperation in all agent networks under certain conditions. We conducted a number of experiments to clarify these conditions, and the results indicate that cooperation emerged.

Original language	English
Title of host publication	AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems
Publisher	International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages	1333-1334
Number of pages	2
ISBN (Electronic)	9781450342391
Publication status	Published - 2016
Event	15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016 - Singapore, Singapore Duration: 2016 May 9 → 2016 May 13

Other

Other	15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016
Country/Territory	Singapore
City	Singapore
Period	16/5/9 → 16/5/13

Keywords

Complex networks
Norm
Prisoner's dilemma

ASJC Scopus subject areas

Artificial Intelligence
Software
Control and Systems Engineering

Cite this

Emergence of cooperation in complex agent networks based on expectation of cooperation. / Shibusawa, Ryosuke; Otsuka, Tomoaki; Sugawara, Toshiharu.

AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2016. p. 1333-1334.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shibusawa, R, Otsuka, T & Sugawara, T 2016, Emergence of cooperation in complex agent networks based on expectation of cooperation. in AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 1333-1334, 15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016, Singapore, Singapore, 16/5/9.

@inproceedings{f76e1449c5734e19b631a987e24f8cc0,

title = "Emergence of cooperation in complex agent networks based on expectation of cooperation",

abstract = "This paper proposes a behavioral strategy called expectation of cooperation strategy with which cooperation in the prisoner's dilemma game emerges in agent networks by incorporating Q-learning. The proposed strategy is simple and easy to implement but nevertheless can evolve and maintain cooperation in all agent networks under certain conditions. We conducted a number of experiments to clarify these conditions, and the results indicate that cooperation emerged.",

keywords = "Complex networks, Norm, Prisoner's dilemma",

author = "Ryosuke Shibusawa and Tomoaki Otsuka and Toshiharu Sugawara",

year = "2016",

language = "English",

pages = "1333--1334",

booktitle = "AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems",

publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",

note = "15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016 ; Conference date: 09-05-2016 Through 13-05-2016",

}

TY - GEN

T1 - Emergence of cooperation in complex agent networks based on expectation of cooperation

AU - Shibusawa, Ryosuke

AU - Otsuka, Tomoaki

AU - Sugawara, Toshiharu

PY - 2016

Y1 - 2016

N2 - This paper proposes a behavioral strategy called expectation of cooperation strategy with which cooperation in the prisoner's dilemma game emerges in agent networks by incorporating Q-learning. The proposed strategy is simple and easy to implement but nevertheless can evolve and maintain cooperation in all agent networks under certain conditions. We conducted a number of experiments to clarify these conditions, and the results indicate that cooperation emerged.

AB - This paper proposes a behavioral strategy called expectation of cooperation strategy with which cooperation in the prisoner's dilemma game emerges in agent networks by incorporating Q-learning. The proposed strategy is simple and easy to implement but nevertheless can evolve and maintain cooperation in all agent networks under certain conditions. We conducted a number of experiments to clarify these conditions, and the results indicate that cooperation emerged.

KW - Complex networks

KW - Norm

KW - Prisoner's dilemma

UR - http://www.scopus.com/inward/record.url?scp=85014165427&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85014165427&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85014165427

SP - 1333

EP - 1334

BT - AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems

PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

T2 - 15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016

Y2 - 9 May 2016 through 13 May 2016

ER -

Emergence of cooperation in complex agent networks based on expectation of cooperation

Abstract

Other

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this