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Managing Uncertainty in Expert Systems

Managing Uncertainty in Expert Systems
Author: Jerzy W. Grzymala-Busse
Publisher: Springer Science & Business Media
Total Pages: 242
Release: 2012-12-06
Genre: Computers
ISBN: 146153982X

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3. Textbook for a course in expert systems,if an emphasis is placed on Chapters 1 to 3 and on a selection of material from Chapters 4 to 7. There is also the option of using an additional commercially available sheU for a programming project. In assigning a programming project, the instructor may use any part of a great variety of books covering many subjects, such as car repair. Instructions for mostofthe "weekend mechanic" books are close stylisticaUy to expert system rules. Contents Chapter 1 gives an introduction to the subject matter; it briefly presents basic concepts, history, and some perspectives ofexpert systems. Then itpresents the architecture of an expert system and explains the stages of building an expert system. The concept of uncertainty in expert systems and the necessity of deal ing with the phenomenon are then presented. The chapter ends with the descrip tion of taxonomy ofexpert systems. Chapter 2 focuses on knowledge representation. Four basic ways to repre sent knowledge in expert systems are presented: first-order logic, production sys tems, semantic nets, and frames. Chapter 3 contains material about knowledge acquisition. Among machine learning techniques, a methodofrule learning from examples is explained in de tail. Then problems ofrule-base verification are discussed. In particular, both consistency and completeness oftherule base are presented.


Expert Systems

Expert Systems
Author: Ian Graham
Publisher: Chapman & Hall
Total Pages: 394
Release: 1988
Genre: Computers
ISBN:

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A review of the present state of knowledge engineering, drawing together underlying theory from related disciplines, with particular attention to fuzzy logics, the theory of fuzzy sets, and decision support systems, along with practical applications. For managers wishing to evaluate expert decision systems, for systems designers and knowledge engineers, and for advanced undergraduate and graduate students in computer science. Many charts, diagrams, tables, and logical or mathematical formulas; extensive references. Annotation copyrighted by Book News, Inc., Portland, OR


Representing Uncertain Knowledge

Representing Uncertain Knowledge
Author: Paul Krause
Publisher: Springer Science & Business Media
Total Pages: 287
Release: 2012-12-06
Genre: Computers
ISBN: 9401120846

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The representation of uncertainty is a central issue in Artificial Intelligence (AI) and is being addressed in many different ways. Each approach has its proponents, and each has had its detractors. However, there is now an in creasing move towards the belief that an eclectic approach is required to represent and reason under the many facets of uncertainty. We believe that the time is ripe for a wide ranging, yet accessible, survey of the main for malisms. In this book, we offer a broad perspective on uncertainty and approach es to managing uncertainty. Rather than provide a daunting mass of techni cal detail, we have focused on the foundations and intuitions behind the various schools. The aim has been to present in one volume an overview of the major issues and decisions to be made in representing uncertain knowl edge. We identify the central role of managing uncertainty to AI and Expert Systems, and provide a comprehensive introduction to the different aspects of uncertainty. We then describe the rationales, advantages and limitations of the major approaches that have been taken, using illustrative examples. The book ends with a review of the lessons learned and current research di rections in the field. The intended readership will include researchers and practitioners in volved in the design and implementation of Decision Support Systems, Ex pert Systems, other Knowledge-Based Systems and in Cognitive Science.


Uncertain Information Processing In Expert Systems

Uncertain Information Processing In Expert Systems
Author: Petr Hajek
Publisher: CRC Press
Total Pages: 310
Release: 1992-06-29
Genre: Computers
ISBN: 9780849363689

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Uncertain Information Processing in Expert Systems systematically and critically examines probabilistic and rule-based (compositional, MYCIN-like) systems, the two most important families of expert systems dealing with uncertainty. The book features a detailed introduction to probabilistic systems (including methods using graphical models and methods of knowledge integration), an analysis of compositional systems based on algebraic considerations, an application of graphical models, and the Dempster-Shafer theory of evidence and its use in expert systems. The book will be useful to anyone working in artificial intelligence, statistical computing, symbolic logic, and expert systems.


Approaches for Managing Uncertainty in Learning Management Systems

Approaches for Managing Uncertainty in Learning Management Systems
Author: Nouran M. Radwan
Publisher: Infinite Study
Total Pages: 10
Release:
Genre:
ISBN:

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The notion of uncertainty in expert systems is dealing with vague data, incomplete information, and imprecise knowledge. Different uncertainty types which are imprecision, vagueness, ambiguity, and inconsistence need different handling models. Uncertain knowledge representation and analysis is an essential issue.


Expert Systems and Probabilistic Network Models

Expert Systems and Probabilistic Network Models
Author: Enrique Castillo
Publisher: Springer Science & Business Media
Total Pages: 612
Release: 2012-12-06
Genre: Computers
ISBN: 1461222702

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Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.


Uncertainty Management in Information Systems

Uncertainty Management in Information Systems
Author: Amihai Motro
Publisher: Springer Science & Business Media
Total Pages: 473
Release: 2012-12-06
Genre: Computers
ISBN: 1461562457

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As its title suggests, "Uncertainty Management in Information Systems" is a book about how information systems can be made to manage information permeated with uncertainty. This subject is at the intersection of two areas of knowledge: information systems is an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modeling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty. New applications of information systems require stronger capabilities in the area of uncertainty management. Our hope is that lasting interaction between these two areas would facilitate a new generation of information systems that will be capable of servicing these applications. Although there are researchers in information systems who have addressed themselves to issues of uncertainty, as well as researchers in uncertainty modeling who have considered the pragmatic demands and constraints of information systems, to a large extent there has been only limited interaction between these two areas. As the subtitle, "From Needs to Solutions," indicates, this book presents view points of information systems experts on the needs that challenge the uncer tainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems that can address these needs.


Decision Support and Expert Systems

Decision Support and Expert Systems
Author: Efraim Turban
Publisher: Simon & Schuster Books For Young Readers
Total Pages: 1006
Release: 1995
Genre: Business
ISBN:

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Decision support systems; management support systems: an overview; decision making, systems, modeling, and support; data management; modeling and model management; user interface; constructing a decision support system; organizational DSS and advanced topics; enterprise support systems; Group decision support systems; executive information and support systems; fundamentals of artificial intelligence and expert systems; applied artificial intelligence: an overview; fundamentals of expert systems; knowledge acquisition and validation; knowledge representation; inferences, explanations, and uncertainty; building expert systems: process and tools; cutting edge decision support technologies; neural computing: the basics; neural computing applications, genetic algorithms, and fuzzy logic; integrating and implementation; integrating decision support technologies; Implementing management support systems; organizational and societal impacts of management support systems; appendix and student project.


Expert Systems in Structural Safety Assessment

Expert Systems in Structural Safety Assessment
Author: Aleksandar S. Jovanovic
Publisher: Springer
Total Pages: 520
Release: 1989
Genre: Computers
ISBN:

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The volume combines tutorials covering basic elements of expert (or knowledge based) systems and practical building of the expert systems to be applied in structural engineering, with the lecture dealing with the various particular application sub-domains like corrosion, stress analysis, high temperature and other pressurized components, use of hypertext, etc. The book thus leads the reader from fundamentals of the theory to the very practice, offering him an opportunity to learn both what contribution can the expert system technology bring to the structural safety assessment and how it should be practically implemented. The book is primarily designed for engineers interested in expert systems, but readers from other fields will surely find there a useful summary of theoretical background and practical experience gathered by introducing expert systems into engineering practice.