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Reasoning About Control
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Book Synopsis Reasoning About Control: An Evidential Approach by :
Download or read book Reasoning About Control: An Evidential Approach written by 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.
Book Synopsis Approximate Reasoning in Intelligent Systems, Decision and Control by : E. Sanchez
Download or read book Approximate Reasoning in Intelligent Systems, Decision and Control written by E. Sanchez and published by Elsevier. This book was released on 2014-05-23 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Documents realistic applications of approximate reasoning techniques, with emphasis placed on operational systems. The papers presented explore new areas of practical decision-making and control systems by considering important aspects of fuzzy logic theory and the latest developments in the field of expert systems. Specific fields of application covered include modelling and control, management, planning, diagnostics, finance and software. Contains 12 papers.
Book Synopsis Reasoning about Control in Problem Solving by : Aurora Diaz
Download or read book Reasoning about Control in Problem Solving written by Aurora Diaz and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Explicit Control of Reasoning by : Johan de Kleer
Download or read book Explicit Control of Reasoning written by Johan de Kleer and published by . This book was released on 1977 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Reasoning about Control in the Context of Advice-giving Systems by : Peter Jackson
Download or read book Reasoning about Control in the Context of Advice-giving Systems written by Peter Jackson and published by . This book was released on 1984 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Control of Reasoning Under Uncertainty by : P. R. Cohen
Download or read book The Control of Reasoning Under Uncertainty written by P. R. Cohen and published by . This book was released on 1987 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Meta-rules written by Randall Davis and published by . This book was released on 1980 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can we insure that knowledge embedded in a program is applied effectively? Traditionally the answer to this question has been sought in different problem solving paradigms and in different approaches to encoding and indexing knowledge. Each of these is useful with a certain variety of problem, but they all share a common problem: they become ineffective in the face of a sufficiently large knowledge base. How then can we make it possible for a system to continue to function in the face of a very large number of plausibly useful chunks of knowledge? In response to this question we propose a framework for viewing issues of knowledge indexing and retrieval, a framework that includes what appears to be a useful perspective on the concept of a strategy. We view strategies as a means of controlling invocation in situations where traditional selection mechanisms become ineffective. We examine ways to effect such control, and describe meta-rules, a means of specifying strategies which offers a number of advantages. We consider at some length how and when it is useful to reason about control, and explore the advantages meta-rules offer for doing this. (Author).
Book Synopsis Reasoning about Control by : Leonard P. Wesley
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.
Book Synopsis Commonsense Reasoning in Control Systems by : Lui Kim Man
Download or read book Commonsense Reasoning in Control Systems written by Lui Kim Man and published by . This book was released on 1993 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Explicit Control of Reasoning by : Johan De Kleer
Download or read book Explicit Control of Reasoning written by Johan De Kleer and published by . This book was released on 1977 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: The construction of expert problem-solving systems requires the development of techniques for using modular representations of knowledge without encountering combinatorial explosions in the solution effort. This report describes an approach to dealing with this problem based on making some knowledge which is usually implicitly part of an expert problem solver explicit, thus allowing this knowledge about control to be manipulated and reasoned about. The basic components of this approach involve using explicit representations of the control structure of the problem solver, and linking this and other knowledge manipulated by the expert by means of explicit data dependencies. (Author).
Book Synopsis Commonsense reasoning in control sytems by : Kim Man Lui
Download or read book Commonsense reasoning in control sytems written by Kim Man Lui and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Logic Programming and Nonmonotonic Reasoning by : Esra Erdem
Download or read book Logic Programming and Nonmonotonic Reasoning written by Esra Erdem and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the 10th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2009) held during 14-18 September in Potsdam. The special theme of LPNMR 2009 is Applications of Logic Programming and Nonmonotonic Reasoning in general and Answer Set Programming (ASP) in particular. LPNMR 2009 aims at providing a comprehensive surrvey of the state ofo the art of ASP/LPNMR Applications. LPNMR 2009 received 75 submissions, of which 55 were technical ones, 8 original applications, 9 system description ones and 3 short papers. Out of these 25 technical, 4 original applications, 10 system description, and 13 short papers were accepted.
Book Synopsis Traffic Control and Transport Planning: by : Dusan Teodorovic
Download or read book Traffic Control and Transport Planning: written by Dusan Teodorovic and published by Springer Science & Business Media. This book was released on 1998-11-30 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to acquaint the reader with the basic elements of fuzzy set theory, fuzzy logic, fuzzy logic systems, artificial neural networks, neurofuzzy modeling, and applications of fuzzy logic and neural networks to date in traffic and transportation engineering, and to indicate the directions for future research in this area.
Download or read book Reasoning written by and published by YOUTH COMPETITION TIMES. This book was released on with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2022-23 SSC Reasoning Chapter-wise Solved Papers
Book Synopsis Decision-theoretic Control of Reasoning by : Stuart Russell
Download or read book Decision-theoretic Control of Reasoning written by Stuart Russell and published by . This book was released on 1988 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the 4th International Conference on Computer Engineering and Networks by : W. Eric Wong
Download or read book Proceedings of the 4th International Conference on Computer Engineering and Networks written by W. Eric Wong and published by Springer. This book was released on 2015-01-06 with total page 1252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to examine innovation in the fields of computer engineering and networking. The book covers important emerging topics in computer engineering and networking, and it will help researchers and engineers improve their knowledge of state-of-art in related areas. The book presents papers from the 4th International Conference on Computer Engineering and Networks (CENet2014) held July 19-20, 2014 in Shanghai, China.
Book Synopsis Adaptive Reasoning for Real-world Problems by : Roy Turner
Download or read book Adaptive Reasoning for Real-world Problems written by Roy Turner and published by Psychology Press. This book was released on 2013-05-13 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes a method for building real-world problem solving systems such as medical diagnostic procedures and intelligent controllers for autonomous underwater vehicles (AUVs) and other robots. The approach taken is different from other work reported in the artificial intelligence literature in several respects: * It defines schema-based reasoning, in which schemas -- explicitly declared packets of related knowledge -- are used to control not only the reasoner's planning, but also all other facets of its behavior. * It is a kind of reactive reasoning that the author calls adaptive problem solving -- the reasoner maintains commitments to future goals but is able to change its focus of attention as the problem-solving situation requires. * It is a context-sensitive reasoning method. Every decision it makes relies on the use of contextual knowledge to be appropriate for the current problem-solving situation. Furthermore, context is represented explicitly; by always keeping a current representation of the context in mind, the reasoner's behavior is automatically sensitive to the context with very little work needed per decision. * Schema-based reasoning -- a generalization of case-based reasoning -- extends the usual idea of case-based reasoning to encompass all aspects of the reasoner's behavior, and it extends it to make use of generalized "cases" (i.e., schemas) rather than particular cases, thus saving effort needed to transfer knowledge from an old case to a new situation. Though the work originated in the domain of medical diagnostic problem solving, treating diagnosis as a planning task, it is even more appropriate for controlling autonomous systems. The author is currently extending the approach by creating a robust controller for long-range autonomous underwater vehicles that will be used to carry out ocean science missions.
