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
Communications of the ACM
Using limited information to enhance group stability
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
Robustness of reputation-based trust: boolean case
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Coordination for Internet Application Development
Autonomous Agents and Multi-Agent Systems
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
ICDCS '97 Proceedings of the 17th International Conference on Distributed Computing Systems (ICDCS '97)
An Adaptive Recommendation System without Explicit Acquisition of User Relevance Feedback
Distributed and Parallel Databases
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
Introduction to recommender systems: Algorithms and Evaluation
ACM Transactions on Information Systems (TOIS)
Dynamic communities in referral networks
Web Intelligence and Agent Systems
AMELI: An Agent-Based Middleware for Electronic Institutions
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Programming stigmergic coordination with the TOTA middleware
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Mechanisms for environments in multi-agent systems: Survey and opportunities
Autonomous Agents and Multi-Agent Systems
Infrastructures for the environment of multiagent systems
Autonomous Agents and Multi-Agent Systems
Environment as a first class abstraction in multiagent systems
Autonomous Agents and Multi-Agent 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
Proceedings of the 3rd international conference on Environments for multi-agent systems III
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
Environments for multiagent systems state-of-the-art and research challenges
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
A survey of quality of service in mobile computing environments
IEEE Communications Surveys & Tutorials
Engineering self-organizing referral networks for trustworthy service selection
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Scalability and quality of service: a trade-off?
IEEE Communications Magazine
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We evaluate the effect of referral mechanisms on stability of agent populations using service providers. We consider a pool of service providers whose performance varies inversely with load. An agent's satisfaction with a service provider depends on a private function of the performance of the provider. An agent will ask for a referral from a centralized referral agency if its satisfaction from its current service provider is below its satisfaction threshold. Such an agent chooses one of the referred providers in the next time interval. The referral system reaches stability when all agents are satisfied with their current provider. We evaluate the relative merits of the following decisions by the centralized referral agency: number of service providers returned and the means for choosing those referrals. The performance metric used is the number of time periods to reach stable system configurations. Interesting observations include the advantage of performance proportionate and semi-deterministic schemes over deterministic referral decisions.