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Author: D. A. Waterman
Publisher: Academic Press
ISBN: 1483268381
Category : Reference
Languages : en
Pages : 673
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Book Description
Pattern-Directed Inference Systems provides a description of the design and implementation of pattern-directed inference systems (PDIS) for various applications. The book also addresses the theoretical significance of PDIS for artificial intelligence and cognitive psychology. The book is divided into eight sections. The introduction provides a brief overview of pattern-directed inference systems, including a historical perspective, a review of basic concepts, and a survey of work in this area. Subsequent chapters address topics on architecture and design, methods for accessing and controlling rule based systems, methods for obtaining adaptive behavior via rule-based systems and cognitive modeling. Constructing models of human information processing, natural language understanding and multilevel systems and complexity are described as well. The last section discusses the earlier chapters in the book and provides a unifying set of principles for the PDIS formalism. Computer scientists, psychologists, engineers, and researchers in artificial intelligence will find the book very informative.
Author: D. A. Waterman
Publisher: Academic Press
ISBN: 1483268381
Category : Reference
Languages : en
Pages : 673
Get Book Here
Book Description
Pattern-Directed Inference Systems provides a description of the design and implementation of pattern-directed inference systems (PDIS) for various applications. The book also addresses the theoretical significance of PDIS for artificial intelligence and cognitive psychology. The book is divided into eight sections. The introduction provides a brief overview of pattern-directed inference systems, including a historical perspective, a review of basic concepts, and a survey of work in this area. Subsequent chapters address topics on architecture and design, methods for accessing and controlling rule based systems, methods for obtaining adaptive behavior via rule-based systems and cognitive modeling. Constructing models of human information processing, natural language understanding and multilevel systems and complexity are described as well. The last section discusses the earlier chapters in the book and provides a unifying set of principles for the PDIS formalism. Computer scientists, psychologists, engineers, and researchers in artificial intelligence will find the book very informative.
Author: Kenneth D. Forbus
Publisher: MIT Press
ISBN: 9780262061575
Category : Computers
Languages : en
Pages : 726
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Book Description
After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems.
Author: Donald Arthur Waterman
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 60
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Book Description
Author: R. Joobbani
Publisher: Springer Science & Business Media
ISBN: 1461325552
Category : Technology & Engineering
Languages : en
Pages : 174
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Book Description
Routing of VLSI chips is an important, time consuming, and difficult problem. The difficulty of the problem is attributed to the large number of often conflicting factors that affect the routing quality. Traditional techniques have approached routing by ignoring some of these factors and imposing unnecessary constraints in order to make routing tractable. In addition to the imposition of these restrictions, which simplify the problems to a degree but at the same time reduce the routing quality, traditional approaches use brute force. They often transform the problem into mathematical or graph problems and completely ignore the specific knowledge about the routing task that can greatly help the solution. This thesis overcomes some of the above problems and presents a system that performs routing close to what human designers do. In other words it heavily capitalizes on the knowledge of human expertise in this area, it does not impose unnecessary constraints, it considers all the different factors that affect the routing quality, and most importantly it allows constant user interaction throughout the routing process. To achieve the above, this thesis presents background about some representative techniques for routing and summarizes their characteristics. It then studies in detail the different factors (such as minimum area, number of vias, wire length, etc.) that affect the routing quality, and the different criteria (such as vertical/horizontal constraint graph, merging, minimal rectilinear Steiner tree, etc.) that can be used to optimize these factors.
Author: D. J. Hand
Publisher: Cambridge University Press
ISBN: 9780521258715
Category : Computers
Languages : en
Pages : 296
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Book Description
This book provides the psychiatrist with a basic knowledge of the methods and concepts used in the sphere of artificial intelligence.
Author: Allan Collins
Publisher: Elsevier
ISBN: 148321446X
Category : Computers
Languages : en
Pages : 673
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Book Description
Readings in Cognitive Science: A Perspective from Psychology and Artificial Intelligence brings together important studies that fall in the intersection between artificial intelligence and cognitive psychology. This book is composed of six chapters, and begins with the complex anatomy and physiology of the human brain. The next chapters deal with the components of cognitive science, such as the semantic memory, similarity and analogy, and learning. These chapters also consider the application of mental models, which represent the domain-specific knowledge needed to understand a dynamic system or natural physical phenomena. The remaining chapters discuss the concept of reasoning, problem solving, planning, vision, and imagery. This book is of value to psychologists, psychiatrists, neurologists, and researchers who are interested in cognition.
Author: Hartvig Dahl
Publisher: Springer Science & Business Media
ISBN: 3642742653
Category : Psychology
Languages : en
Pages : 297
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Book Description
Hartvig Dahl This is a book about the future that we hope will arouse the curiosity of clinicians and point a direction for researchers. It marks the surprisingly rapid evolution of psychodynamic psychotherapy research from an applied toward a basic science, and, as its title implies, describes strategies to follow rather than results to live by. It was not always thus. A quarter of a century ago the editors of two volumes of psychotherapy research reports summarized the state of the field then: Although there has been a great accumulation of clinical observations and experimental findings, the field has made relatively little progress. There has been little creative building on the work of others (Parloff and Rubinstein 1962). Psychological research generally has tended to be insuffi ciently additive. Research people often find it hard to keep informed of related work done on the same site and else where, and therefore do not build upon each other's foun dation (Luborsky and Strupp 1962).
Author: Donald Michie
Publisher: CRC Press
ISBN: 9780677163505
Category : Computers
Languages : en
Pages : 260
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Book Description
"David Blackbourn tells the story of how the German people transformed their landscape over 250 years from a waterlogged swampland into one of the most powerful countries in the Western world. His account, in which he shows how Germans set out to "conquer" that most fundamental natural element, water, brings together politics, culture, economics, and ecology in a daring work of total history."--BOOK JACKET.
Author: Ryszard S. Michalski
Publisher: Elsevier
ISBN: 008051054X
Category : Computers
Languages : en
Pages : 585
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Book Description
Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs—particularly programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV and V discuss learning from observation and discovery, and learning from instruction, respectively. Part VI presents two studies on applied learning systems—one on the recovery of valuable information via inductive inference; the other on inducing models of simple algebraic skills from observed student performance in the context of the Leeds Modeling System (LMS). This book is intended for researchers in artificial intelligence, computer science, and cognitive psychology; students in artificial intelligence and related disciplines; and a diverse range of readers, including computer scientists, robotics experts, knowledge engineers, educators, philosophers, data analysts, psychologists, and electronic engineers.
Author: R.S. Michalski
Publisher: Springer Science & Business Media
ISBN: 366212405X
Category : Computers
Languages : en
Pages : 564
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Book Description
The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current research projects in the field. . This book contains tutorial overviews and research papers representative of contemporary trends in the area of machine learning as viewed from an artificial intelligence perspective. As the first available text on this subject, it is intended to fulfill several needs.
