Reputation in Artificial Societies: Social Beliefs for Social Order
Reputation in Artificial Societies: Social Beliefs for Social Order
Trust in Distributed Artificial Intelligence
MAAMAW '92 Selected papers from the 4th European Workshop on on Modelling Autonomous Agents in a Multi-Agent World, Artificial Social Systems
A Social Mechanism of Reputation Management in Electronic Communities
CIA '00 Proceedings of the 4th International Workshop on Cooperative Information Agents IV, The Future of Information Agents in Cyberspace
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Building trust in online auction markets through an economic incentive mechanism
Decision Support Systems
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Principles of Trust for MAS: Cognitive Anatomy, Social Importance, and Quantification
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Believing Others: Pros and Cons
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Convergence of agent reputation with Alpha-Beta filtering vs. a fuzzy system
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06) - Volume 01
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
An adaptive probabilistic trust model and its evaluation
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Dynamics of Agent Organizations: Application to Modeling Irregular Warfare
Multi-Agent-Based Simulation IX
Strategies for exploiting trust models in competitive multi-agent systems
MATES'09 Proceedings of the 7th German conference on Multiagent system technologies
Developing strategies for the ART domain
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
A probabilistic approach for maintaining trust based on evidence
Journal of Artificial Intelligence Research
Fairness In Recurrent Auctions With Competing Markets And Supply Fluctuations
Computational Intelligence
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Open distributed systems pose a challenge to trust modelling due to the dynamic nature of these systems (e.g., electronic auctions) and the unreliability of self-interested agents. The majority of trust models implicitly assume a shared cognitive model for all the agents participating in a society, and thus they treat the discrepancy between information and experience as a source of distrust: if an agent states a given quality of service, and another agent experiences a different quality for that service, such discrepancy is typically assumed to indicate dishonesty, and thus trust is reduced. Herein, we propose a trust model, which does not assume a concrete cognitive model for other agents, but instead uses the discrepancy between the information about other agents and its own experience to better predict the behavior of the others. This neutrality about other agents' cognitive models allows an agent to obtain utility from lyres or agents having a different model of the world. The experiments performed suggest that this model improves the performance of an agent in dynamic scenarios under certain conditions such as those found in market-like evolving environments.