On the representation of roles in object-oriented and conceptual modelling
Data & Knowledge Engineering
MOISE+: towards a structural, functional, and deontic model for MAS organization
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Dynamics of Organizations: Computational Modeling and Organization Theories
Dynamics of Organizations: Computational Modeling and Organization Theories
Trust and Distrust Definitions: One Bite at a Time
Proceedings of the workshop on Deception, Fraud, and Trust in Agent Societies held during the Autonomous Agents Conference: Trust in Cyber-societies, Integrating the Human and Artificial Perspectives
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Role-assignment in open agent societies
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Proceedings of the 10th international conference on Intelligent user interfaces
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
The Knowledge Engineering Review
A survey of multi-agent organizational paradigms
The Knowledge Engineering Review
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
Autonomous Agents and Multi-Agent Systems
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
k-means++: the advantages of careful seeding
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Data mining for agent reasoning: A synergy for training intelligent agents
Engineering Applications of Artificial Intelligence
Dynamically learning sources of trust information: experience vs. reputation
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A capabilities-based model for adaptive organizations
Autonomous Agents and Multi-Agent Systems
Redesign of Organizations as a Basis for Organizational Change
Coordination, Organizations, Institutions, and Norms in Agent Systems II
Evaluation of properties in the transition of capability based agent organization
Web Intelligence and Agent Systems
Organising MAS: a formal model based on organisational mechanisms
Proceedings of the 2009 ACM symposium on Applied Computing
Dynamic protocols for open agent systems
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Self-organising agent organisations
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Decentralised Structural Adaptation in Agent Organisations
Organized Adaption in Multi-Agent 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
Trust Assessment for Web Services Collaboration
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
Organizational structures supported by agent-oriented methodologies
Journal of Systems and Software
Adaptive mechanisms of organizational structures in multi-agent systems
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Reputation-based decisions for logic-based cognitive agents
Autonomous Agents and Multi-Agent Systems
Persuading agents to act in the right way: An incentive-based approach
Engineering Applications of Artificial Intelligence
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In Task-oriented MultiAgent Systems (T-MAS) with a heterogeneous population, deciding with whom to interact is a particularly difficult issue for an agent, as repeated interactions with the same agents might be scarce, and reputation mechanisms become increasingly unreliable. In this work, we present a mechanism (REM) which can be used by agents in a T-MAS to take more informed decisions regarding partner selection, and thus to improve their individual utilities. This mechanism monitors the interactions in the T-MAS, evolves a role taxonomy, and assigns agents to roles based on their observed performance in different types of tasks. This information can be used by agents to better estimate the expected behaviour of potential counterparts in future interactions. We thus highlight the descriptive features of roles, providing expectations of the behaviour of agents in certain types of tasks, rather than their normative facets. We empirically show that the use of the mechanism helps agents select better partners for their interactions than selection processes based only on the agents' own experience. This is especially significant for new agents that join a system.