Journal of Symbolic Logic
On the logic of iterated belief revision
Artificial Intelligence
Resolving Conflicting Information
Journal of Logic, Language and Information
Journal of Logic, Language and Information
A Framework for Multi-Agent Belief Revision, Part I: The Role of Ontology
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
TARK '96 Proceedings of the 6th conference on Theoretical aspects of rationality and knowledge
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
Review: modeling knowledge dynamics in multi-agent systems based on informants
The Knowledge Engineering Review
Revision over partial pre-orders: a postulational study
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
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In a multi-agent system (MAS), an agent may often receive information through a potentially large number of informants. We will consider the case where the informants are independent agents who have their own interests and, therefore, are not necessarily completely reliable; in this setup, it will be natural for some agent to believe an informant more than other. The use of the notion of credibility will allow agents to organize their peers in a partial order that will reflect the relative credibility of their informants. It is also natural that the assigned credibility will change dynamically, leading to changes in the associated partial order. We will investigate the problem of updating the credibility order to reflect the change in the perceived agent's credibility, seeking to define a complete change theory over the agents' trust and reputation. The focus will be on the characterization and development of change operators (expansion, contraction, and revision) for modeling the dynamics of this partial order of agents. These operators, characterized through postulates and representation theorems, can be used to dynamically modify the credibility of informants to reflect a new perception of informant's plausibility, or admit the arrival of a new agent to the system.