Managing Uncertainty in Expert Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Managing Uncertainty in Expert Systems write by Jerzy W Grzymala-Busse. This book was released on 1991-07-31. Managing Uncertainty in Expert Systems available in PDF, EPUB and Kindle.
Managing Uncertainty in Expert Systems
Managing Uncertainty in Expert Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Managing Uncertainty in Expert Systems write by Jerzy W. Grzymala-Busse. This book was released on 2012-12-06. Managing Uncertainty in Expert Systems available in PDF, EPUB and Kindle. 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.
Managing Uncertainty in Expert Systems
Managing Uncertainty in Expert Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Managing Uncertainty in Expert Systems write by David C. Knue. This book was released on 1986. Managing Uncertainty in Expert Systems available in PDF, EPUB and Kindle. A study of using probability to manage uncertainty in expert systems is presented. The study begins with a comprehensive summary of the literature on applying numeric techniques to manage uncertainty in expert systems. In addition to probability, fuzzy sets, certainty factors, and belief functions are addressed. basic principles and rules of information combination for each technique are discussed. The Lindley scoring rule argument for why probability is mathematically techniques is reviewed. The issues why using probability is considered to be a hindrance to managing uncertainty in expert systems are also reviewed. A simple expert system is developed using a state of the art expert system building tool called ALTERID. ALTERID is unique in that it unifies logical and probabilistic inference. This simple expert system is used to explore how probability theory can be used to manage the uncertainty in expert systems. The simple ALTERID based expert system is also used to evaluate the aforementioned issues for using probability to manage uncertainty in expert systems. Keywords: artificial intelligence Bayes theorem; decision analysis; theses.
Managing Uncertainty in Expert Systems
Managing Uncertainty in Expert Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Managing Uncertainty in Expert Systems write by David C. Knue (CAPT, USAF.). This book was released on 1986. Managing Uncertainty in Expert Systems available in PDF, EPUB and Kindle.
Representing Uncertain Knowledge
Representing Uncertain Knowledge - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Representing Uncertain Knowledge write by Paul Krause. This book was released on 2012-12-06. Representing Uncertain Knowledge available in PDF, EPUB and Kindle. 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.
