Propositional knowledge base revision and minimal change
Artificial Intelligence
On the logic of iterated belief revision
Artificial Intelligence
Iterated belief change in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
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PODS '83 Proceedings of the 2nd ACM SIGACT-SIGMOD symposium on Principles of database systems
A Logical Approach for Describing (Dis)Belief Change and Message Processing
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
A modal framework for relating belief and signed information
CLIMA'11 Proceedings of the 12th international conference on Computational logic in multi-agent systems
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This paper focuses on the features of belief change when agents have to consider information received from other agents. We focus on belief change operators when agents have to process messages about a static world. We propose to consider agents' belief state as a set of pairs 〈belief, origin of the belief〉 combined with a preference relation over the agents embedded in the multi-agent system. The belief revision procedure for handling received messages is a safe base revision procedure where messages are considered in their syntactic form. According to the reliability of the sources of the conflicting belief, agents remove the less reliable belief in order to handle the received message. Notice that the less reliable source can be the sender of the message itself. In order not to loose precious information conflicting belief are not removed but considered as potential belief. As the agent changes its belief, potential belief is reconsidered and may be reinstated as current belief. In a similar way, messages can concern statements that should not be believed, called disbelief. As belief, disbelief can become potential. These different kinds of belief enables us to propose a new semantics for a modal based language for describing (dis)belief. Agents may handle sequences of messages since the proposed belief change operators handle iterated belief change.