How Coalitions Enhance Cooperation in the IPD over Complex Networks

Grouping agents into coalitions can be an important way of cooperation through which multi-agent systems(MAS) improve their performance, accomplish their assignments, increase their benefits, and achieve their goals. However, agents belonging to a coalition must decide how they behave to increase th...

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Bibliographic Details
Published in2012 Third Brazilian Workshop on Social Simulation pp. 68 - 74
Main Authors Peleteiro, A., Burguillo, J. C., Bazzan, A. L. C.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Agent-Based Simulation
Biological system modeling
Complex networks
Game Theory
Games
Iterative Prisoners Dilemma
Learning automata
Reinforcement Learning
Sociology
Statistics
Vectors
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Summary:Grouping agents into coalitions can be an important way of cooperation through which multi-agent systems(MAS) improve their performance, accomplish their assignments, increase their benefits, and achieve their goals. However, agents belonging to a coalition must decide how they behave to increase their gains. In this paper, we present a model that combines learning and coalition formation to enhance cooperation over the Iterated Prisoner's Dilemma (IPD). We focus on agents interacting over complex networks since they provide a realistic model of the nowadays interconnected world. Our results suggest that coalitions are a relevant contribution to achieve cooperation in the IPD.
ISBN:9781467356732
1467356735
DOI:10.1109/BWSS.2012.20