Artificial Intelligence
A theory of diagnosis from first principles
Artificial Intelligence
Artificial Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Readings in uncertain reasoning
Readings in uncertain reasoning
The Bayesian and belief-function formalisms a general perspective for auditing
Readings in uncertain reasoning
Belief maintenance: an integrated approach to uncertainty management
Readings in uncertain reasoning
An introduction to possibilistic and fuzzy logics
Readings in uncertain reasoning
A knowledge level analysis of belief revision
Proceedings of the first international conference on Principles of knowledge representation and reasoning
A Monte-Carlo algorithm for Dempster-Shafer belief
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Propositional knowledge base revision and minimal change
Artificial Intelligence
Epistemic entrenchment and possibilistic logic
Artificial Intelligence
A logic for reasoning with inconsistent knowledge
Artificial Intelligence
A model for belief revision in a multi-agent environment (abstract)
ACM SIGOIS Bulletin
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Distributed decision support systems under limited degrees of competence: a simulation study
Decision Support Systems - Special issue: intelligent agents as a basis for decision support systems
Belief Revision and Nonmonotonic Logic: Two Sides of the Same Coin? (Abstract)
JELIA '90 Proceedings of the European Workshop on Logics in AI
A Generalized Approach to Consistency Based Belief Revision
AI*IA '95 Proceedings of the 4th Congress of the Italian Association for Artificial Intelligence on Topics in Artificial Intelligence
On the logic of iterated belief revision
TARK '94 Proceedings of the 5th conference on Theoretical aspects of reasoning about knowledge
How to infer from inconsistent beliefs without revising
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Iterated theory base change: a computational model
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Distributed knowledge revision/integration
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Autonomous Agents and Multi-Agent Systems
The Epistemological Foundations of Artificial Agents
Minds and Machines
Mental states as multi-context systems
Annals of Mathematics and Artificial Intelligence
An hybrid system for continuous learning
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
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Belief revision is the process of rearranging a knowledge base to preserve global consistency whilst accommodating incoming information. Early approaches to belief revision used symbolic model theoretic methods, considering the problem as one of changi ng a logical theory. More recent approaches have adopted qualitative syntactic methods, taking them into the area of truth maintenance systems, and numerical mathematical methods, thus moving into the mainstream literature of uncertainty management. Multi -agent systems, in which information may come from a variety of human and artificial sources with different degrees of reliability, seem to be a natural domain for belief revision. The aim of this paper is to give a synoptic perspective of this composite subject from the clear air of the high theoretical peaks down to the muddy plain of practical algorithms.