An evidential model of distributed reputation management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Reputation and social network analysis in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Exploiting hierarchical domain structure to compute similarity
ACM Transactions on Information Systems (TOIS)
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
Autonomous Agents and Multi-Agent Systems
Dynamically learning sources of trust information: experience vs. reputation
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Effective use of organisational abstractions for confidence models
ESAW'06 Proceedings of the 7th international conference on Engineering societies in the agents world VII
Objective versus subjective coordination in the engineering of agent systems
Intelligent information agents
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
Coordination and Agreement in Multi-Agent Systems
CIA '08 Proceedings of the 12th international workshop on Cooperative Information Agents XII
Coordination in Multi-Agent Systems: Towards a Technology of Agreement
MATES '08 Proceedings of the 6th German conference on Multiagent System Technologies
Organising MAS: a formal model based on organisational mechanisms
Proceedings of the 2009 ACM symposium on Applied Computing
Knowledge-based virtual organizations for the E-decisional community
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Organisational structures in next-generation distributed systems: Towards a technology of agreement
Multiagent and Grid Systems
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Virtual Organizations (VOs) are becoming an increasingly important research topic in the field of Multi-Agent Systems (MAS). The problem of selecting suitable counterparts to interact with is of particular relevance for agents belonging to a VO. This issue has been extensively investigated, applying probability or cognitive approaches, but very few focus has been given to the use of internal organizational structures and the improvement they can provide. In this paper we analyze how organizational structures can support the agent selection process based an trust mechanisms. Furthermore, we present a way to extend VOs automatically (e.g., their role taxonomies) by detecting and identifying new roles. We show that such extensions lead to an improvement of the agents' decisions when employing trust mechanisms that take advantage of organizational structures.