A Robust Logic for Rule-based Reasoning Under Uncertainty
Author: Simon Parsons
Publisher:
Published: 1991*
Total Pages:
ISBN-13:
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A Rough Logic for Rule-based Reasoning Under Uncertainty
Author: Simon Parsons
Publisher:
Published: 1992*
Total Pages:
ISBN-13:
DOWNLOAD EBOOKSubjective Logic
Author: Audun Jøsang
Publisher: Springer
Published: 2016-10-27
Total Pages: 355
ISBN-13: 3319423371
DOWNLOAD EBOOKThis is the first comprehensive treatment of subjective logic and all its operations. The author developed the approach, and in this book he first explains subjective opinions, opinion representation, and decision-making under vagueness and uncertainty, and he then offers a full definition of subjective logic, harmonising the key notations and formalisms, concluding with chapters on trust networks and subjective Bayesian networks, which when combined form general subjective networks. The author shows how real-world situations can be realistically modelled with regard to how situations are perceived, with conclusions that more correctly reflect the ignorance and uncertainties that result from partially uncertain input arguments. The book will help researchers and practitioners to advance, improve and apply subjective logic to build powerful artificial reasoning models and tools for solving real-world problems. A good grounding in discrete mathematics is a prerequisite.
Rules-based Reasoning Under Uncertainty and Imprecision
Author: Ion Iancu
Publisher:
Published: 2010
Total Pages: 152
ISBN-13: 9786065107601
DOWNLOAD EBOOKIntegrating Rules and Connectionism for Robust Commonsense Reasoning
Author: Ron Sun
Publisher: Wiley-Interscience
Published: 1994-02-21
Total Pages: 304
ISBN-13:
DOWNLOAD EBOOKAlong with this framework, the book proposes a set of interrelated new ideas regarding the modeling of commonsense reasoning which are highly relevant to current research in AI and cognitive science and the ongoing methodological debate.
Uncertainty in Artificial Intelligence
Author: L.N. Kanal
Publisher: Elsevier
Published: 2014-06-28
Total Pages: 522
ISBN-13: 1483296520
DOWNLOAD EBOOKHow to deal with uncertainty is a subject of much controversy in Artificial Intelligence. This volume brings together a wide range of perspectives on uncertainty, many of the contributors being the principal proponents in the controversy.Some of the notable issues which emerge from these papers revolve around an interval-based calculus of uncertainty, the Dempster-Shafer Theory, and probability as the best numeric model for uncertainty. There remain strong dissenting opinions not only about probability but even about the utility of any numeric method in this context.
The Handbook of Applied Expert Systems
Author: Jay Liebowitz
Publisher: CRC Press
Published: 2019-07-23
Total Pages: 740
ISBN-13: 0429606974
DOWNLOAD EBOOKThe Handbook of Applied Expert Systems is a landmark work dedicated solely to this rapidly advancing area of study. Edited by Jay Liebowitz, a professor, author, and consultant known around the world for his work in the field, this authoritative source covers the latest expert system technologies, applications, methodologies, and practices. The book features contributions from more than 40 of the world's foremost expert systems authorities in industry, government, and academia. The Handbook is organized into two major sections. The first section explains expert systems technologies while the second section focuses on applied examples in a wide variety of industries. Key topics covered include fuzzy systems, genetic algorithm development, machine learning, knowledge representation, and much more.
Robotics and Manufacturing
Author: Mohammad Jamshidi
Publisher: American Society of Mechanical Engineers
Published: 1992
Total Pages: 1040
ISBN-13:
DOWNLOAD EBOOKThis series deals with the worldwide economic effects of automation on manufacturing processes. Robotics and Manufacturing is an exhaustive source of scientific and technical progress by top international researchers. Its contents are invaluable for tracking the trends and directions of this important field. Unrivaled in its complete and far-ranging coverage, these volumes are packed with the highest quality research, covering: - robot kinematics, dynamics, analysis, and design - sensing and sensors - robot control - parallel and redundant robots - telerobotics and space applications of robots - flexible and mobile robots - fuzzy logic applications in robots and manufacturing - intelligent systems and intelligent manufacturing - design and economics of manufacturing systems.
Reasoning with Actual and Potential Contradictions
Author: Dov M. Gabbay
Publisher: Springer Science & Business Media
Published: 1998-10-31
Total Pages: 350
ISBN-13: 9780792351610
DOWNLOAD EBOOKThis volume deals with approaches to handling contradictory information. These include approaches for actual contradiction - both A and not-A can be proven from the information - and approaches for potential contradiction - where the information may contain arguments for A and arguments for not-A, but the system suppresses the contradiction by, for example, preferring some arguments over others. Approaches covered include paraconsistent logics, modal logics, default logics, conditional logics, defeasible logics and paraconsistent semantics for logic programming. The volume is of interest to students, researchers and practitioners in artificial intelligence, software engineering, logic, language and philosophy. This volume is the first handbook to give a comprehensive coverage of handling contradictory information.
