9780792351627 - Belief Change (Handbook of Defeasible Reasoning and Uncertainty Management Systems, Band 3) (5 Ergebnisse)

Zustand: New. In.

Zustand: New. pp. 468 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Zustand: New. Belief change is an emerging field of artificial intelligence and information science dedicated to the dynamics of information and the present book provides a state-of-the-art picture of its formal foundations. It deals with the addition, deletion and co.

Zustand: New. Belief change is a field of artificial intelligence and information science dedicated to the dynamics of information. This is a study of addition, deletion and combination of pieces of information, and the revision, updating and fusion of knowledge bases, offering a numerical view of belief change. Editor(s): Gabbay, Dov M.; Smets, Philippe. Series: Handbook of Defeasible Reasoning & Uncertainty Management Systems. Num Pages: 453 pages, biography. BIC Classification: PBCD; UYA. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 25. Weight in Grams: 829. . 1998. Hardback. . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - Belief change is an emerging field of artificial intelligence and information science dedicated to the dynamics of information and the present book provides a state-of-the-art picture of its formal foundations. It deals with the addition, deletion and combination of pieces of information and, more generally, with the revision, updating and fusion of knowledge bases. The book offers an extensive coverage of, and seeks to reconcile, two traditions in the kinematics of belief that often ignore each other - the symbolic and the numerical (often probabilistic) approaches. Moreover, the work encompasses both revision and fusion problems, even though these two are also commonly investigated by different communities. Finally, the book presents the numerical view of belief change, beyond the probabilistic framework, covering such approaches as possibility theory, belief functions and convex gambles. The work thus presents a unified view of belief change operators, drawing from a widely scattered literature embracing philosophical logic, artificial intelligence, uncertainty modelling and database systems. The material is a clearly organised guide to the literature on the dynamics of epistemic states, knowledge bases and uncertain information, suitable for scholars and graduate students familiar with applied logic, knowledge representation and uncertain reasoning.