Reasoning about knowledge and probability
Journal of the ACM (JACM)
Multilanguage hierarchical logics, or: how we can do without modal logics
Artificial Intelligence
Fuzzy aggregation of numerical preferences
Fuzzy sets in decision analysis, operations research and statistics
Robustness of reputation-based trust: boolean case
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Reputation and social network analysis in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Reputation in Artificial Societies: Social Beliefs for Social Order
Reputation in Artificial Societies: Social Beliefs for Social Order
A Logic for Characterizing Multiple Bounded Agents
Autonomous Agents and Multi-Agent Systems
STOC '83 Proceedings of the fifteenth annual ACM symposium on Theory of computing
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Detecting deception in reputation management
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Probabilistic Dynamic Epistemic Logic
Journal of Logic, Language and Information
Belief, information acquisition, and trust in multi-agent systems: a modal logic formulation
Artificial Intelligence
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
On representation and aggregation of social evaluations in computational trust and reputation models
International Journal of Approximate Reasoning
A complete fuzzy logical system to deal with trust management systems
Fuzzy Sets and Systems
From Binary Trust to Graded Trust in Information Sources: A Logical Perspective
Trust in Agent Societies
Pragmatic-strategic reputation-based decisions in BDI agents
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Extending the BDI architecture with commitments
Proceedings of the 2006 conference on Artificial Intelligence Research and Development
Probabilistic Dynamic Belief Logic for Image and Reputation
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Decentralized monitoring of agent communications with a reputation model
Trusting Agents for Trusting Electronic Societies
Engineering trust alignment: Theory, method and experimentation
International Journal of Human-Computer Studies
Computational trust and reputation models for open multi-agent systems: a review
Artificial Intelligence Review
Trust-based role coordination in task-oriented multiagent systems
Knowledge-Based Systems
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Computational trust and reputation models have been recognized as one of the key technologies required to design and implement agent systems. These models manage and aggregate the information needed by agents to efficiently perform partner selection in uncertain situations. For simple applications, a game theoretical approach similar to that used in most models can suffice. However, if we want to undertake problems found in socially complex virtual societies, we need more sophisticated trust and reputation systems. In this context, reputation-based decisions that agents make take on special relevance and can be as important as the reputation model itself. In this paper, we propose a possible integration of a cognitive reputation model, Repage, into a cognitive BDI agent. First, we specify a belief logic capable to capture the semantics of Repage information, which encodes probabilities. This logic is defined by means of a two first-order languages hierarchy, allowing the specification of axioms as first-order theories. The belief logic integrates the information coming from Repage in terms if image and reputation, and combines them, defining a typology of agents depending of such combination. We use this logic to build a complete graded BDI model specified as a multi-context system where beliefs, desires, intentions and plans interact among each other to perform a BDI reasoning. We conclude the paper with an example and a related work section that compares our approach with current state-of-the-art models.