Gossip-Based self-organising open agent societies

Authors:
Sharmila Savarimuthu;Martin Purvis;Bastin Tony Roy Savarimuthu;Maryam Purvis
Affiliations:
Department of Information Science, University of Otago, Dunedin, New Zealand;Department of Information Science, University of Otago, Dunedin, New Zealand;Department of Information Science, University of Otago, Dunedin, New Zealand;Department of Information Science, University of Otago, Dunedin, New Zealand
Venue:
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Year:
2010

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Abstract

The objective of this work is to demonstrate how cooperative sharers and uncooperative free riders can be placed in different groups of an electronic society in a decentralized manner. We have simulated an agent-based open and decentralized P2P system which self-organises itself into different groups to avoid cooperative sharers being exploited by uncooperative free riders. This approach encourages sharers to move to better groups and restricts free riders into those groups of sharers without needing centralized control. Our approach is suitable for current P2P systems that are open and distributed. Gossip is used as a social mechanism for information sharing which facilitates the formation of groups. Using multi-agent based simulations we demonstrate how the adaptive behaviour of agents lead to self-organization.