P Peppas - Foundations of Artificial Intelligence, 2008 - Elsevier
Publisher Summary The study of the process of belief revision, which gave rise to an exciting research area with the same name, can be traced back to the early 1980s. The framework …
A concise and lucid exposition of the major topics in knowledge representation, from two of the leading authorities in the field.-Stuart Russell, UC Berkeley The information is valuable …
Formal ways of representing uncertainty and various logics for reasoning about it; updated with new material on weighted probability measures, complexity-theoretic considerations …
H Katsuno, AO Mendelzon - Artificial Intelligence, 1991 - Elsevier
The semantics of revising knowledge bases represented by sets of propositional sentences is analyzed from a model-theoretic point of view. A characterization of all revision schemes …
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …
The general purpose of this chapter is to provide a critical analysis on the controversial enterprise of 'logics of discovery'. It is naturally divided into six parts. After this introduction, in …
We present a general framework for defining nonmonotonic systems based on the notion of preferred maximal consistent subsets of the premises. This framework subsumes David …
Belief revision is a topic of much interest in theoretical computer science and logic, and it forms a central problem in research into artificial intelligence. In simple terms: how do you …
Isaac Levi's new book is concerned with how one can justify changing one's beliefs. The discussion is deeply informed by the belief-doubt model advocated by CS Peirce and John …