Abduction As Belief Revision: A Model of Preferred Explanations
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Summary
A natural model of abduction based on the revision of the epistemic state of an agent is proposed, which will generate explanations that nonmonotonically predict an observation, thus generalizing most current accounts, which require some deductive relationship between explanation and observation.
- Type
- article
- Published
- 1993-07-11
- Cited by
- 8
- References
- 22
- OpenAlex
- https://openalex.org/W29214467
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2779299
Keywords
Preference, Belief revision, Normality, Natural (archaeology), Computer science
References
- A Logic for Revision and Subjunctive Queries
- Normative, Subjunctive, and Autoepistemic Defaults: Adopting the Ramsey Test
- A Knowledge-Level Account of Abduction
- Inaccessible Worlds and Irrelevance: Preliminary Report
- Rank-based Systems: A Simple Approach to Belief Revision, Belief Update, and Reasoning about Evidence and Actions
- Preferred Subtheories: An Extended Logical Framework for Default Reasoning
- Conditional logics for default reasoning and belief revision
- Philosophy of Natural Science
- Explanation and prediction: an architecture for default and abductive reasoning
- Peirce's Philosophy of Science: Critical Studies in His Theory of Induction and Scientific Method
- A Logical Framework for Depiction and Image Interpretation
- Abduction as Belief Revision
- A Theory of Diagnosis from First Principles
- Diagnosing Multiple Faults
- On the logic of theory change: Partial meet contraction and revision functions
- Probabilistic reasoning in intelligent systems: Networks of plausible inference
- Characterizing Diagnoses
- Knowledge in flux: modeling the dynamics of epistemic states
- Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
- Using Default and Causal Reasoning in Diagnosis.
Cited by
- On the evolving relation between Belief Revision and Argumentation
- Unifying Default Reasoning and Belief Revision in a Modal Framework
- Abductive Consequence Relations
- Explanations, belief revision and defeasible reasoning
- The Probability of a Possibility: Adding Uncertainty to Default Rules
- On reconciling conflicting updates (a compromised revision approach)
- Toward a Peircean Theory of Human Learning: Revealing the Misconception of Belief Revision
- A Compromise Revision Model for Reconciling Updates
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