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Author : John Yen
Publisher :
ISBN 13 :
Total Pages : 408 pages
Book Rating : 4.:/5 (29 download)
Download or read book Evidential Reasoning in Expert Systems written by John Yen and published by . This book was released on 1986 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : T. R. Thompson
Publisher :
ISBN 13 :
Total Pages : 98 pages
Book Rating : 4.:/5 (227 download)
Download or read book Evidential Reasoning in Expert Systems for Image Analysis written by T. R. Thompson and published by . This book was released on 1985 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report documents efforts to understand approaches to evidential reasoning of use in application of expert-system or knowledge-based-system techniques to image analysis (IA). There is growing evidence that these techniques offer significant improvements in image analysis, particularly in the coordinated application of specialized algorithms. This effort has four principal goals: (1) to clarify the basic issues in evidential reasoning (ER), (2) to provide a common framework for analysis, (3) to structure the ER process for major expert-system tasks in image analysis, and (4) to identify promising directions for further research. This research was carried out in three major segments. The first segment structured the evidential reasoning problem in a formal paradigm robust enough to be of practical use in design and construction of expert systems. It then formulated six important theoretical approaches in a parallel fashion in order to identify key assumptions, similarities, and differences. The second segment applied each of the ER approaches to three important tasks for expert systems in the domain of image analysis. This segment concluded with an assessment of the strengths and weaknesses of each approach. The third segment addressed promising directions for further research. It reviewed current results and identified important questions bearing on successful application of expert-system technology to image analysis.
Author : S. M. Mohiddin
Publisher :
ISBN 13 :
Total Pages : 15 pages
Book Rating : 4.:/5 (66 download)
Download or read book Possibilistic Evidential Reasoning and Its Applications to Fuzzy Expert Systems written by S. M. Mohiddin and published by . This book was released on 1991 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ronald R. Yager
Publisher : Springer
ISBN 13 : 354044792X
Total Pages : 813 pages
Book Rating : 4.5/5 (44 download)
Download or read book Classic Works of the Dempster-Shafer Theory of Belief Functions written by Ronald R. Yager and published by Springer. This book was released on 2008-01-22 with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a collection of classic research papers on the Dempster-Shafer theory of belief functions. The book is the authoritative reference in the field of evidential reasoning and an important archival reference in a wide range of areas including uncertainty reasoning in artificial intelligence and decision making in economics, engineering, and management. The book includes a foreword reflecting the development of the theory in the last forty years.
Author : John Yen
Publisher :
ISBN 13 :
Total Pages : 189 pages
Book Rating : 4.:/5 (959 download)
Download or read book Evidential Reasoning in Expert System written by John Yen and published by . This book was released on 1986 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Lung Albert Chen
Publisher :
ISBN 13 :
Total Pages : 326 pages
Book Rating : 4.:/5 (33 download)
Download or read book Knowledge-based Retrieval of Information as a Process of Evidential Reasoning written by Lung Albert Chen and published by . This book was released on 1990 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Leonard P. Wesley
Publisher :
ISBN 13 :
Total Pages : 43 pages
Book Rating : 4.:/5 (227 download)
Download or read book Reasoning about Control written by Leonard P. Wesley and published by . This book was released on 1984 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert systems that operate in complex domains are continually confronted with the problem of deciding what to do next. Being able to reach a decision requires, in part, having the capacity to "reason" about a set of alternative actions. It has been argued that expert systems must reason from evidential information -- i.e., uncertain, incompletes, and occasionally inaccurate information. As a consequence, a model for reasoning about control must be capable of performing several tasks: to combine the evidential information that is generically distinct and from disparate sources; to overcome minor inaccuracies in the evidential information that is needed to reach a decision; to reason about what additional evidential information is required; to explain the actions taken (based on such information) by the system. These are a few of the formidable control problems that remain largely unsolved. If expert systems are to improve their performance significantly, they must utilize increasingly sophisticated and general models for dealing with the evidential information required for reasoning about their behavior. To this end we present an alternative, evidentially-based approach to reasoning about control that has several advantages over existing techniques. It enables us to reason from limited and imperfect information; to partition bodies of meta- and domain- knowledge into modular components; and to order potential actions flexibly by allowing any number of constraints (i.e., control strategies) to be imposed over a set of alternative actions. Furthermore, because it can be used for reasoning about the expenditure of additional resources to obtain the evidential information needed as a basis for choosing among alternatives, this approach can be employed recursively.
Author : Richard E. Neapolitan
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 492 pages
Book Rating : 4.3/5 (91 download)
Download or read book Probabilistic Reasoning in Expert Systems written by Richard E. Neapolitan and published by Wiley-Interscience. This book was released on 1990-03-16 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the use probability theory as a tool for designing with and implementing uncertainity reasoning. Provides many concrete algorithms, explores techniques for solving multimembership classification problems not based directly on causal networks, and offers practical recommendations, matching specific methods with sample expert systems.
Author : James Frederick Baldwin
Publisher : Taylor & Francis Group
ISBN 13 :
Total Pages : 418 pages
Book Rating : 4.3/5 (91 download)
Download or read book Fril, Fuzzy and Evidential Reasoning in Artificial Intelligence written by James Frederick Baldwin and published by Taylor & Francis Group. This book was released on 1995 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fril, the artificial intelligence language that implements this theory of uncertainty in the style of logic programming, is presented, with many examples and modules for the various applications. Two Fril demonstration disks are provided free in the book, to enable the reader to implement the examples while following the text. One of the disks is for the Macintosh computer; it will run on any Macintosh under System 7 or later. The other is for the IBM PC or clone, and will work under Windows 3.1 or later. The process of installing and running the demonstration software is straightforward and is described in the 'Read Me' file on each of the disks.
Author : Gheorghe Tecuci
Publisher : Cambridge University Press
ISBN 13 : 1316654184
Total Pages : 482 pages
Book Rating : 4.3/5 (166 download)
Download or read book Knowledge Engineering written by Gheorghe Tecuci and published by Cambridge University Press. This book was released on 2016-09-08 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a significant advancement in the theory and practice of knowledge engineering, the discipline concerned with the development of intelligent agents that use knowledge and reasoning to perform problem solving and decision-making tasks. It covers the main stages in the development of a knowledge-based agent: understanding the application domain, modeling problem solving in that domain, developing the ontology, learning the reasoning rules, and testing the agent. The book focuses on a special class of agents: cognitive assistants for evidence-based reasoning that learn complex problem-solving expertise directly from human experts, support experts, and nonexperts in problem solving and decision making, and teach their problem-solving expertise to students. A powerful learning agent shell, Disciple-EBR, is included with the book, enabling students, practitioners, and researchers to develop cognitive assistants rapidly in a wide variety of domains that require evidence-based reasoning, including intelligence analysis, cybersecurity, law, forensics, medicine, and education.
Author : John D. Lowrance
Publisher :
ISBN 13 :
Total Pages : 103 pages
Book Rating : 4.:/5 (66 download)
Download or read book Evidential Reasoning written by John D. Lowrance and published by . This book was released on 1983 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bernadette Bouchon-Meunier
Publisher : Springer Science & Business Media
ISBN 13 : 9783540185796
Total Pages : 420 pages
Book Rating : 4.1/5 (857 download)
Download or read book Uncertainty in Knowledge-Based Systems written by Bernadette Bouchon-Meunier and published by Springer Science & Business Media. This book was released on 1987-11-04 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Weiru Liu
Publisher : Physica
ISBN 13 : 9783662003442
Total Pages : 274 pages
Book Rating : 4.0/5 (34 download)
Download or read book Propositional, Probabilistic and Evidential Reasoning written by Weiru Liu and published by Physica. This book was released on 2014-03-12 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to draw plausible conclusions from uncertain and conflicting sources of evidence is one of the major intellectual challenges of Artificial Intelligence. It is a prerequisite of the smart technology needed to help humans cope with the information explosion of the modern world. In addition, computational modelling of uncertain reasoning is a key to understanding human rationality. Previous computational accounts of uncertain reasoning have fallen into two camps: purely symbolic and numeric. This book represents a major advance by presenting a unifying framework which unites these opposing camps. The Incidence Calculus can be viewed as both a symbolic and a numeric mechanism. Numeric values are assigned indirectly to evidence via the possible worlds in which that evidence is true. This facilitates purely symbolic reasoning using the possible worlds and numeric reasoning via the probabilities of those possible worlds. Moreover, the indirect assignment solves some difficult technical problems, like the combinat ion of dependent sources of evidcence, which had defeated earlier mechanisms. Weiru Liu generalises the Incidence Calculus and then compares it to a succes sion of earlier computational mechanisms for uncertain reasoning: Dempster-Shafer Theory, Assumption-Based Truth Maintenance, Probabilis tic Logic, Rough Sets, etc. She shows how each of them is represented and interpreted in Incidence Calculus. The consequence is a unified mechanism which includes both symbolic and numeric mechanisms as special cases. It provides a bridge between symbolic and numeric approaches, retaining the advantages of both and overcoming some of their disadvantages.
Author : Irwin R. Goodman
Publisher : North Holland
ISBN 13 :
Total Pages : 364 pages
Book Rating : 4.3/5 (91 download)
Download or read book Conditional Logic in Expert Systems written by Irwin R. Goodman and published by North Holland. This book was released on 1991 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a collection of invited papers on all basic aspects of conditional logic, inference and reasoning in expert systems. Specifically, theoretical results and applications centered around the main task in automated reasoning, namely conditional inference, in the three main approaches to reasoning under uncertainty (Bayesian, Fuzzy sets and Belief functions) including: - Measure-free conditioning, conditioning operators for non-monotonic reasoning; - General approach using logic to conditional inference; - Conditioning reasoning with fuzzy sets; - Random set as a formalism for evidential reasoning; - New results in the theory of Belief functions; - Some aspects of applications to various fields of AI.
Author : Yuan-Wei Du
Publisher : Infinite Study
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4./5 ( download)
Download or read book Generalized combination rule for evidential reasoning approach and Dempster– Shafer theory of evidence written by Yuan-Wei Du and published by Infinite Study. This book was released on with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Dempster–Shafer (DS) theory of evidence can combine evidence with one parameter. The evidential reasoning (ER) approach is an extension of DS theory that can combine evidence with two parameters (weights and reliabilities). However, it has three infeasible aspects: reliability dependence, unreliability effectiveness, and intergeneration inconsistency.
Author : Douglas Walton
Publisher : Springer
ISBN 13 : 331919626X
Total Pages : 297 pages
Book Rating : 4.3/5 (191 download)
Download or read book Argument Evaluation and Evidence written by Douglas Walton and published by Springer. This book was released on 2015-08-04 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph poses a series of key problems of evidential reasoning and argumentation. It then offers solutions achieved by applying recently developed computational models of argumentation made available in artificial intelligence. Each problem is posed in such a way that the solution is easily understood. The book progresses from confronting these problems and offering solutions to them, building a useful general method for evaluating arguments along the way. It provides a hands-on survey explaining to the reader how to use current argumentation methods and concepts that are increasingly being implemented in more precise ways for the application of software tools in computational argumentation systems. It shows how the use of these tools and methods requires a new approach to the concepts of knowledge and explanation suitable for diverse settings, such as issues of public safety and health, debate, legal argumentation, forensic evidence, science education, and the use of expert opinion evidence in personal and public deliberations.
Author : Cornelius T. Leondes
Publisher : Elsevier
ISBN 13 : 0080531458
Total Pages : 2125 pages
Book Rating : 4.0/5 (85 download)
Download or read book Expert Systems written by Cornelius T. Leondes and published by Elsevier. This book was released on 2001-09-26 with total page 2125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Expert systems techniques and applications are presented for a diverse array of topics including Experimental design and decision support The integration of machine learning with knowledge acquisition for the design of expert systems Process planning in design and manufacturing systems and process control applications Knowledge discovery in large-scale knowledge bases Robotic systems Geograhphic information systems Image analysis, recognition and interpretation Cellular automata methods for pattern recognition Real-time fault tolerant control systems CAD-based vision systems in pattern matching processes Financial systems Agricultural applications Medical diagnosis
