On the Expressiveness of Rule-based Systems for Reasoning with Uncertainty
Author: Stanford University. Computer Science Department. Knowledge Systems Laboratory
Publisher:
Published: 1987
Total Pages: 7
ISBN-13:
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Author: Stanford University. Computer Science Department. Knowledge Systems Laboratory
Publisher:
Published: 1987
Total Pages: 7
ISBN-13:
DOWNLOAD EBOOKAuthor: Axel Polleres
Publisher: Springer
Published: 2009-10-14
Total Pages: 279
ISBN-13: 3642050824
DOWNLOAD EBOOKThepromiseoftheSemanticWeb,atits most expansive, is to allow knowledge to be freely accessed and exchanged by software. It is now recognized that if the SemanticWebis to containdeepknowledge,theneedfornewrepresentationand reasoning techniques is going to be critical. These techniques need to ?nd the righttrade-o?betweenexpressiveness,scalabilityandrobustnesstodealwiththe inherently incomplete, contradictory and uncertain nature of knowledge on the Web. The International Conference on Web Reasoning and Rule Systems (RR) was founded to address these needs and has grown into a major international forum in this area. The third RR conference was held during October 25–26, 2009 in Chantilly, Virginia, co-located with the International Semantic Web Conference (ISWC 2009). This year 41 papers were submitted from authors in 21 countries. The P- gram Committee performed outstandingly to ensure that each paper submitted to RR 2009 was thoroughly reviewed by at least three referees in a short - riod of time. The resulting conference presented papers of high quality on many of the key issues for reasoning on the Semantic Web. RR 2009 was fortunate to have two distinguished invited speakers. Robert Kowalski, in his talk “- tegrating Logic Programming and Production Systems with Abductive Logic Programming Agents” addressed some of the fundamental considerations - hind reasoning about evolving systems. Benjamin Grossof’s talk “SILK: Higher Level Rules with Defaults and Semantic Scalability” described the design of a major next-generation rule system. The invited tutorial “Uncertainty Reas- ing for the Semantic Web” by Thomas Lukasiewicz provided perspectives on a central issue in this area.
Author: T.S. Levitt
Publisher: Elsevier
Published: 2014-06-28
Total Pages: 435
ISBN-13: 1483296547
DOWNLOAD EBOOKClearly illustrated in this volume is the current relationship between Uncertainty and AI.It has been said that research in AI revolves around five basic questions asked relative to some particular domain: What knowledge is required? How can this knowledge be acquired? How can it be represented in a system? How should this knowledge be manipulated in order to provide intelligent behavior? How can the behavior be explained? In this volume, all of these questions are addressed. From the perspective of the relationship of uncertainty to the basic questions of AI, the book divides naturally into four sections which highlight both the strengths and weaknesses of the current state of the relationship between Uncertainty and AI.
Author: Yan-Jae Yu
Publisher:
Published: 1986
Total Pages: 212
ISBN-13:
DOWNLOAD EBOOKAuthor: Tibor Vamos
Publisher: World Scientific
Published: 1991-03-22
Total Pages: 247
ISBN-13: 9814506656
DOWNLOAD EBOOKThis book is an essay on relevant problems of epistemology (the theory of knowledge) related to computer science. It draws a continuous line between the earliest scientific approaches of epistemology, starting with the Greek Classics and the recent practical and theoretical problems of computer modelling, and by that the appropriate application of computers to our present problems. Uncertainty, logic and language are the key issues of this road leading to some new aspects of cognitive psychology and unification of the different results for a modelling procedure. The book is not a textbook but a critical survey of usual and advertised methods with an evaluation of them from the point of view of their applicability, reliability and limits. Probability, Bayesian, Dempster-Shafer, fuzzy and other approaches are treated in this way in uncertainty, different worlds' concepts, non-monotonic logic and other methods and views in logic. The emphasis in linguistics is put on the meta concept, and in cognitive applications of the pattern concept.Written mostly in an entertaining style, this book provides a more palatable reading of a profound subject.
Author: Evelyn J. S. Hovenga
Publisher: IOS Press
Published: 2010
Total Pages: 520
ISBN-13: 1607500922
DOWNLOAD EBOOKThis second, extensively revised and updated edition of Health Informatics: An Overview includes new topics which address contemporary issues and challenges and shift the focus on the health problem space towards a computer perspective.
Author: American Association for Artificial Intelligence
Publisher: Morgan Kaufmann
Published: 1987
Total Pages: 444
ISBN-13:
DOWNLOAD EBOOKAuthor: David E. Heckerman
Publisher:
Published: 1990
Total Pages: 7
ISBN-13:
DOWNLOAD EBOOKAuthor: Dov M. Gabbay
Publisher: Springer Science & Business Media
Published: 2013-04-17
Total Pages: 518
ISBN-13: 9401717370
DOWNLOAD EBOOKReasoning under uncertainty is always based on a specified language or for malism, including its particular syntax and semantics, but also on its associated inference mechanism. In the present volume of the handbook the last aspect, the algorithmic aspects of uncertainty calculi are presented. Theory has suffi ciently advanced to unfold some generally applicable fundamental structures and methods. On the other hand, particular features of specific formalisms and ap proaches to uncertainty of course still influence strongly the computational meth ods to be used. Both general as well as specific methods are included in this volume. Broadly speaking, symbolic or logical approaches to uncertainty and nu merical approaches are often distinguished. Although this distinction is somewhat misleading, it is used as a means to structure the present volume. This is even to some degree reflected in the two first chapters, which treat fundamental, general methods of computation in systems designed to represent uncertainty. It has been noted early by Shenoy and Shafer, that computations in different domains have an underlying common structure. Essentially pieces of knowledge or information are to be combined together and then focused on some particular question or domain. This can be captured in an algebraic structure called valuation algebra which is described in the first chapter. Here the basic operations of combination and focus ing (marginalization) of knowledge and information is modeled abstractly subject to simple axioms.
Author: Avelino J. González
Publisher:
Published: 1993
Total Pages: 554
ISBN-13:
DOWNLOAD EBOOKThis volume provides comprehensive single-volume coverage of both the theory and the applications of knowledge-based systems.