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Learning partner selection rules that sustain cooperation in social dilemmas with the option of opting out
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Leung, Chin-wing and Turrini, Paolo (2024) Learning partner selection rules that sustain cooperation in social dilemmas with the option of opting out. In: 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024), Auckland, New Zealand, 6–10 May 2024. Published in: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024) (In Press)
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Abstract
We study populations of self-interested agents playing a 2-person repeated Prisoner’s Dilemma game, with each player having the option of opting out of the interaction and choosing to be randomly assigned to another partner instead. The partner selection component makes these games akin to random matching, where defection is known to take over the entire population. Results in the literature have shown that, when forcing agents to obey a set partner selection rule known as Out-for-Tat, where defectors are systematically being broken ties with, cooperation can be sustained in the long run. In this paper, we remove this assumption and study agents that learn both action- and partner-selection strategies. Through multiagent reinforcement learning, we show that cooperation can be sustained without forcing agents to play predetermined strategies. Our simulations show that agents are capable of learning in-game strategies by themselves, such as Tit-for-Tat. What is more, they are also able to simultaneously discover cooperation-sustaining partner selection rules, notably Out-for-Tat, as well as other new rules that make cooperation prevail.
Item Type: | Conference Item (Paper) | |||||||||
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Subjects: | B Philosophy. Psychology. Religion > BJ Ethics H Social Sciences > HM Sociology Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | |||||||||
Library of Congress Subject Headings (LCSH): | Intelligent agents (Computer software), Multiagent systems , Online social networks -- Data processing, Prisoner's dilemma game, Game theory, Cooperativeness -- Mathematical models, Games of strategy (Mathematics) | |||||||||
Journal or Publication Title: | Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024) | |||||||||
Publisher: | AAMAS | |||||||||
Official Date: | 2024 | |||||||||
Dates: |
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Status: | Peer Reviewed | |||||||||
Publication Status: | In Press | |||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||
Date of first compliant deposit: | 13 February 2024 | |||||||||
Date of first compliant Open Access: | 14 February 2024 | |||||||||
RIOXX Funder/Project Grant: |
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Conference Paper Type: | Paper | |||||||||
Title of Event: | 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024) | |||||||||
Type of Event: | Conference | |||||||||
Location of Event: | Auckland, New Zealand | |||||||||
Date(s) of Event: | 6–10 May 2024 | |||||||||
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