Which is More Believable, the Probably Provable Or the Provably Probable? PDF Download
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Author: Pearl, Judea
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 14
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Book Description
Author: Pearl, Judea
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 14
Get Book Here
Book Description
Author: J. Pearl
Publisher:
ISBN:
Category :
Languages : en
Pages : 13
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Book Description
Author: Judea Pearl
Publisher: Elsevier
ISBN: 0080514898
Category : Computers
Languages : en
Pages : 573
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Book Description
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic. The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information. Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.
Author: Katia P. Sycara
Publisher: Morgan Kaufmann
ISBN: 9781558601642
Category : Computers
Languages : en
Pages : 532
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Book Description
Author: David A. Schum
Publisher: Northwestern University Press
ISBN: 9780810118218
Category : History
Languages : en
Pages : 572
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Book Description
In this work Schum develops a general theory of evidence as it is understood and applied across a broad range of disciplines and practical undertakings. He include insights from law, philosophy, logic, probability, semiotics, artificial intelligence, psychology and history.
Author: Ronald R. Yager
Publisher: John Wiley & Sons
ISBN:
Category : Computers
Languages : en
Pages : 616
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Book Description
Builds on classical probability theory and offers an extremely workable solution to the many problems of artificial intelligence, concentrating on the rapidly growing areas of fuzzy reasoning and neural computing. Contains a collection of previously unpublished articles by leading researchers in the field.
Author: Canadian Society for Computational Studies of Intelligence. Conference
Publisher: [Toronto, Ont.?] : The Society
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 288
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Book Description
Author: Matthew A. Benton
Publisher: Oxford University Press
ISBN: 0192519603
Category : Philosophy
Languages : en
Pages : 538
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Book Description
Recent decades have seen a fertile period of theorizing within mainstream epistemology which has had a dramatic impact on how epistemology is done. Investigations into contextualist and pragmatic dimensions of knowledge suggest radically new ways of meeting skeptical challenges and of understanding the relation between the epistemological and practical environment. New insights from social epistemology and formal epistemology about defeat, testimony, a priority, probability, and the nature of evidence all have a potentially revolutionary effect on how we understand our epistemological place in the world. Religion is the place where such rethinking can potentially have its deepest impact and importance. Yet there has been surprisingly little infiltration of these new ideas into philosophy of religion and the epistemology of religious belief. Knowledge, Belief, and God incorporates these myriad new developments in mainstream epistemology, and extends these developments to questions and arguments in religious epistemology. The investigations proposed in this volume offer substantial new life, breadth, and sophistication to issues in the philosophy of religion and analytic theology. They pose original questions and shed new light on long-standing issues in religious epistemology; and these developments will in turn generate contributions to epistemology itself, since religious belief provides a vital testing ground for recent epistemological ideas.
Author:
Publisher:
ISBN:
Category : Computer science
Languages : en
Pages : 284
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Book Description
Author: American Association for Artificial Intelligence
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 868
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Book Description
