Title :
How Coalitions Enhance Cooperation in the IPD over Complex Networks
Author :
Peleteiro, A. ; Burguillo, J.C. ; Bazzan, Ana L. C.
Author_Institution :
Telecommun. Eng. Sch., Univ. of Vigo, Vigo, Spain
Abstract :
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.
Keywords :
complex networks; iterative methods; multi-agent systems; IPD; MAS; complex networks; grouping agents; iterated prisoner dilemma; multiagent systems; Biological system modeling; Complex networks; Games; Learning automata; Sociology; Statistics; Vectors; Agent-Based Simulation; Complex Networks; Game Theory; Iterative Prisoners Dilemma; Reinforcement Learning;
Conference_Titel :
Social Simulation (BWSS), 2012 Third Brazilian Workshop on
Conference_Location :
Curitiba
Print_ISBN :
978-1-4673-5673-2
DOI :
10.1109/BWSS.2012.20
