Unifying default reasoning and belief revision in a modal framework
Artificial Intelligence
Artificial Intelligence
Abduction to plausible causes: an event-based model of belief update
Artificial Intelligence
Belief revision with unreliable observations
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
JELIA '00 Proceedings of the European Workshop on Logics in Artificial Intelligence
Belief Revision Process Based on Trust: Agents Evaluating Reputation of Information Sources
Proceedings of the workshop on Deception, Fraud, and Trust in Agent Societies held during the Autonomous Agents Conference: Trust in Cyber-societies, Integrating the Human and Artificial Perspectives
Making revision reversible: an approach based on polynomials
Fundamenta Informaticae
The Knowledge Engineering Review
A modal logic framework for multi-agent belief fusion
ACM Transactions on Computational Logic (TOCL)
Matrix representation of belief states: an algebraic semantics for belief logics
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
The complexity of belief update
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Iterated belief change: a transition system approach
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
What is believed is what is explained (sometimes)
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Iterated belief change in the situation calculus
Artificial Intelligence
Iterated belief change due to actions and observations
Journal of Artificial Intelligence Research
A qualitative Markov assumption and its implications for belief change
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Considerations on belief revision in an action theory
Correct Reasoning
Making revision reversible: an approach based on polynomials
Fundamenta Informaticae
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Belief revision and belief update have been proposed as two types of belief change serving differ ent purposes Belief revision is intended to capture changes of an agent's belief state reflecting new information about a static world Belief update is intended to capture changes of belief in response to a changing world. We argue that both belief revision and belief update are too restrictive, routine belief change involves elements of both. We present a model for generalized update that allows updates in response to external changes to inform the agent about its prior beliefs. This model of update combines aspects of revision and update, providing a more realistic characterization of belief change. We show that, under certain assumptions, the original update postulates are satisfied. We also demonstrate that plain revision and plain update are special cases of our model, in a way that formally verifies the intuition that revision is suitable for "static" belief change.