Emerging cooperation on complex networks

Authors:
Norman Salazar;Juan A. Rodriguez-Aguilar;Josep Ll. Arcos;Ana Peleteiro;Juan C. Burguillo-Rial
Affiliations:
IIIA, Artificial Intelligence Research Institute, CSIC, Spanish National Research Council;IIIA, Artificial Intelligence Research Institute, CSIC, Spanish National Research Council;IIIA, Artificial Intelligence Research Institute, CSIC, Spanish National Research Council;Universidad de Vigo, Vigo, Spain;Universidad de Vigo, Vigo, Spain
Venue:
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Year:
2011

Citing 7
Cited 2

A Roadmap of Agent Research and Development

Autonomous Agents and Multi-Agent Systems
On cooperation in multi-agent systems

The Knowledge Engineering Review
Robust incentive techniques for peer-to-peer networks

EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Binary and Multivariate Stochastic Models of Consensus Formation

Computing in Science and Engineering
A memetic framework for describing and simulating spatial prisoner's dilemma with coalition formation

Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Social dilemmas in computational ecosystems

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
The role of clustering on the emergence of efficient social conventions

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence

Evaluating the models and behaviour of 3D intelligent virtual animals in a predator-prey relationship

Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Fostering Cooperation through Dynamic Coalition Formation and Partner Switching

ACM Transactions on Autonomous and Adaptive Systems (TAAS)

Quantified Score

Hi-index	0.00

Visualization

Abstract

The dynamic formation of coalitions is a well-known area of interest in multi-agent systems (MAS). Coalitions can help self-interested agents to successfully cooperate and coordinate in a mutually beneficial manner. Moreover, the organization provided by coalitions is particularly helpful for large-scale MAS. In this paper we present a distributed approach for coalition emergence in large-scale MAS. In particular, we focus on MAS with agents interacting over complex networks since they provide a realistic model of the nowadays interconnected world (e.g. social networks). Our experiments show the effectiveness of our coalition emergence approach in achieving full cooperation over different complex networks. Furthermore, they provide a clear picture of the strong influence the topology has on coalition emergence.