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Brave Nonmonotonic Inference and Its Kinds
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Normal conditions for inference relations and injective models
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Similarity between preferential models
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A characterization theorem for injective model classes axiomatized by general rules
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A causal approach to nonmonotonic reasoning
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Additive Consolidation with Maximal Change
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Default logic generalized and simplified
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Issues in Designing Logical Models for Norm Change
Organized Adaption in Multi-Agent Systems
A causal approach to nonmonotonic reasoning
Artificial Intelligence
Mereological theories of concepts in granular computing
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A general family of preferential belief removal operators
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Double preference relations for generalised belief change
Artificial Intelligence
Argumentation and rules with exceptions
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Rational closure for defeasible description logics
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Norm-system revision: theory and application
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Nonmonotonic logics and their algebraic foundations
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Revision over partial pre-orders: a postulational study
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Knowledge acquisition: Past, present and future
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Identifying the class of maxi-consistent operators in argumentation
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Defeasible inheritance-based description logics
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This monograph provides logical foundations and a uniform description for nonmonotonic reasoning and belief change. The approach to these subjects is based on a powerful notion of an epistemic state that subsumes existing models for both nonmonotonic inference and belief change. Many results and constructions in the book are completely new and have not appeared in earlier literature.The book is primarily intended for experts in artificial intelligence and knowledge representation who are interested in tools for describing common sense reasoning tasks, as well as in the representation capabilities of such tools. Due to an extensive use of a logical machinery, the book is also of interest to general logicians.