NEGO—group decision support system
Information and Management
An aspiration-level interactive model for multiple criteria decision making
Computers and Operations Research - Special issue: implementing multiobjective optimization methods: behavioral and computational issues
Robustness of reputation-based trust: boolean case
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Recommending collaboration with social networks: a comparative evaluation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Be Patient and Tolerate Imprecision: How Autonomous Agents can Coordinate Effectively
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Selecting service providers from noisy reputations
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Adaptive load balancing: a study in multi-agent learning
Journal of Artificial Intelligence Research
Satisficing and learning cooperation in the prisoner's dilemma
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Effect of deceptive referrals on system stability
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Interactions between market barriers and communication networks in marketing systems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Searching for Collaborators in Agent Networks
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
Identifying conditional norms in multi-agent societies
COIN@AAMAS'10 Proceedings of the 6th international conference on Coordination, organizations, institutions, and norms in agent systems
Learning to locate trading partners in agent networks
ALA'09 Proceedings of the Second international conference on Adaptive and Learning Agents
Towards modeling trust based decisions: a game theoretic approach
ESORICS'07 Proceedings of the 12th European conference on Research in Computer Security
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We investigate a framework where agents locate high-quality service providers by using referrals from peer agents. The performance of providers is measured by the satisfaction obtained by agents from using their services. Provider performance depends upon its intrinsic capability and upon its current load. We present an algorithm for selecting a service provider for a given task which includes mechanisms for deciding when and who to ask for a referral. This mechanism requires learning, over interactions, both the performance levels of different service providers, as well as the quality of referrals provided by other agents. We use a satisficing rather than an optimizing framework, where agents are content to receive service quality above a threshold. Agents have to learn the quality of others' referrals and the quality of providers to find satisficing providers. We compare the effectiveness of referral systems with or without deception with systems without referrals. We identify zones, based on an observed entropy metric, where using referrals is helpful in promoting fast convergence to satisficing distributions.