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 |
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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 |
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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