Cooperation between self-interested agents in normal form games

Authors:
Steven Damer
Affiliations:
University of Minnesota Minneapolis, MN
Venue:
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Year:
2011

Citing 1
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Achieving cooperation in a minimally constrained environment

AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1

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Abstract

We study how to achieve cooperation between two self-interested agents that play repeated randomly generated normal form games. We take inspiration from a model originally designed to identify cooperative actions by humans who play a game, but we use the model in a prescriptive rather than descriptive manner. To identify cooperative intent, agents use a particle filter to learn the parameters of the model.