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Principles of Trust for MAS: Cognitive Anatomy, Social Importance, and Quantification
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An Introduction to Congregating in Multiagent Systems
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IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
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ICEC '05 Proceedings of the 7th international conference on Electronic commerce
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CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
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CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
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ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
Expert Systems with Applications: An International Journal
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COIN'09 Proceedings of the 5th international conference on Coordination, organizations, institutions, and norms in agent systems
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The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
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Computers in Human Behavior
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CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Experience-Based trust: enabling effective resource selection in a grid environment
iTrust'05 Proceedings of the Third international conference on Trust Management
A trust/honesty model in multiagent semi-competitive environments
PRIMA'04 Proceedings of the 7th Pacific Rim international conference on Intelligent Agents and Multi-Agent Systems
Coalition-Oriented sensing in wireless sensor networks
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Cooperation is the fundamental underpinning of multi-agent systems, allowing agents to interact to achieve their goals. Where agents are self-interested, or potentially unreliable, there must be appropriate mechanisms to cope with the uncertainty that arises. In particular, agents must manage the risk associated with interacting with others who have different objectives, or who may fail to fulfil their commitments. Previous work has utilised the notions of motivation and trust in engendering successful cooperation between self-interested agents. Motivations provide a means for representing and reasoning about agents' overall objectives, and trust offers a mechanism for modelling and reasoning about reliability, honesty, veracity and so forth. This paper extends that work to address some of its limitations. In particular, we introduce the concept of a clan: a group of agents who trust each other and have similar objectives. Clan members treat each other favourably when making private decisions about cooperation, in order to gain mutual benefit. We describe mechanisms for agents to form, maintain, and dissolve clans in accordance with their self-interested nature, along with giving details of how clan membership influences individual decision making. Finally, through some simulation experiments we illustrate the effectiveness of clan formation in addressing some of the inherent problems with cooperation among self-interested agents.