Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
A fuzzy system based approach to social modeling in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Statistic Criteria for Fuzzy Systems Qualitiy Evaluation
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
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Trust modelling is widely recognized as an aspect of essential importance in the construction of agents and multi agent systems (MAS). As a consequence, several trust formalisms have been developed over the last years. All of them have, in our opinion a limitation: they can determine the trustworthiness or untrustworthiness of the assertions expressed by a given agent, but they don't supply mechanisms for correcting this information in order to extract some utility from it. In order to overcome this limitation, we introduce the concept of reliability as a generalization of trust, and present Fuzzy Contextual Corrective Filters (FCCF) as reliability modeling methods loosely based on system identification and signal processing techniques. In order to prove their usefulness, we study their applicability to the appraisal variance estimation problem in the Agent Reputation and Trust (ART) testbed.