International Journal of Man-Machine Studies
Social trust: a cognitive approach
Trust and deception in virtual societies
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Principles of Trust for MAS: Cognitive Anatomy, Social Importance, and Quantification
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Why a Cognitive Trustier Performs Better: Simulating Trust-Based Contract Nets
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Computational Logic in Multi-Agent Systems
Gradual trust and distrust in recommender systems
Fuzzy Sets and Systems
Toward Trustworthy Web Services - Approaches, Weaknesses and Trust-By-Contract Framework
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Temporal logic-based specification and verification of trust models
iTrust'06 Proceedings of the 4th international conference on Trust Management
Contract nets for evaluating agent trustworthiness
Trusting Agents for Trusting Electronic Societies
Incorporating trust in networked production systems
Journal of Intelligent Manufacturing
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The approaches to the trust study are various and very different each of other. In our view, just a socio-cognitive approach to trust would be able to analyze the sub-components (the basic beliefs) on which the final decision to trust or not is taken. In this paper we show a first implementation and advance of the socio-cognitive model of trust developed in [1, 2] using the so-called Fuzzy Cognitive Maps. With this implementation we show how the different components may change and how their impact can change depending from the specific situation and from the agent personality.