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Pattern Directed Inference Systems
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Book Synopsis Pattern-Directed Inference Systems by : D. A. Waterman
Download or read book Pattern-Directed Inference Systems written by D. A. Waterman and published by Academic Press. This book was released on 2014-05-10 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Proceedings of the Workshop on Pattern-Directed Inference Systems by :
Download or read book Proceedings of the Workshop on Pattern-Directed Inference Systems written by and published by . This book was released on 1977 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Building Problem Solvers by : Kenneth D. Forbus
Download or read book Building Problem Solvers written by Kenneth D. Forbus and published by MIT Press. This book was released on 1993 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems.
Book Synopsis An Overview of Pattern-directed Inference Systems by : Donald Arthur Waterman
Download or read book An Overview of Pattern-directed Inference Systems written by Donald Arthur Waterman and published by . This book was released on 1978 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Artificial Intelligence Approach to VLSI Routing by : R. Joobbani
Download or read book An Artificial Intelligence Approach to VLSI Routing written by R. Joobbani and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence and Psychiatry by : D. J. Hand
Download or read book Artificial Intelligence and Psychiatry written by D. J. Hand and published by Cambridge University Press. This book was released on 1985-06-06 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the psychiatrist with a basic knowledge of the methods and concepts used in the sphere of artificial intelligence.
Book Synopsis Introductory Readings in Expert Systems by : Donald Michie
Download or read book Introductory Readings in Expert Systems written by Donald Michie and published by CRC Press. This book was released on 1982 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Book Synopsis Machine Learning by : Ryszard S. Michalski
Download or read book Machine Learning written by Ryszard S. Michalski and published by Elsevier. This book was released on 2014-06-28 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning by : R.S. Michalski
Download or read book Machine Learning written by R.S. Michalski and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Image Analysis and Processing by : Virginio Cantoni
Download or read book Image Analysis and Processing written by Virginio Cantoni and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the third time the Italian Group on Pattern Recogni tion has organized an International Conference on Image Analysis and Processing (lAP) gathering together the most active groups working in this area in our country. The first International Conference lAP was held in Pavia (1980) and the second one in Selva di Fasano (1982). A selected set of distinguished speakers has been invited to talk about their personal experience and views on industrial applications (H Freeman), the critical analysis of medical image processing (D Rutovitz), the advances of robot vision languages (M Silva) and the availability of AI technology for imI?roving the performance of PR and IP programs (J M Chassery). Four different areas have been covered by the papers submitted and refereed) to the conference first and to a scientific committee next, namely IP Techniques, Multiprocessor Architectures, Robot Vision and IP Applications. A final paper giving the results of a census of the Italian groups is provided showing, with some detail, typical research lines as pursued in working groups both at the University and Industry. About 39 groups are presently active in 12 different places of the peninsula.
Book Synopsis Machine Learning by : Ryszard Stanisław Michalski
Download or read book Machine Learning written by Ryszard Stanisław Michalski and published by Morgan Kaufmann. This book was released on 1983 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Information Systems Science by : Julius T. Tou
Download or read book Advances in Information Systems Science written by Julius T. Tou and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume 9 of this series on information systems science presents four timely topics of current interest in this growing field. In each chapter an attempt is made to familiarize the reader with some basic background information on the advances discussed, so that this volume may be used independently or in conjunction with the previous volumes. The emphasis in this volume is on data structures for scene analysis, database management technology, inductive inference in processing pattern-based information, and logic design of MOS networks. Scene analysis has become a very important aspect in information system design. The process of scene analysis involves sensing, segmentation, recognition, and interpretation. Innovative development of algorithms for these tasks requires the utilization of structural relationship prevalent within the sensed data. In Chapter 1, Thomason and Gonzalez discuss the formula tion of data representation techniques and the properties of data structures and databases in scene analysis. In view of the growing importance of database management, Chapter 2 is devoted to an overview of database management technology. In this chapter Kobayashi covers a variety of current topics. The topics discussed include system design methodology, data structure theory, semantic con siderations, calculus-based database operations, database management functions, and the issues of integrity, security, concurrency, and recoverabil ity. This chapter also discusses the end-user languages and several existing database management systems.
Book Synopsis Cognitive Skills and Their Acquisition by : John R. Anderson
Download or read book Cognitive Skills and Their Acquisition written by John R. Anderson and published by Psychology Press. This book was released on 2013-10-28 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1981. This book is a collection of the papers presented at the Sixteenth Annual Carnegie Symposium on Cognition, held in May 1980.
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 Knowledge Structures by : Dietrich Albert
Download or read book Knowledge Structures written by Dietrich Albert and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a sign of its times. Each one of the chapters - papers written by European authors of various backgrounds- illustrates a departure from the style of theorizing that has been prominent in the behavioral and social sciences for most of the century. Until very recently, models for behavioral phenomena were chi~fly based on numerical representations of the objects of concern, e. g. the subjects and the stimuli under study. This was due in large part to the influence of nineteenth century physics, which played the role of the successful older sister, the one that had to be imitated if one wished to be taken seriously in scientific circles. The mystical belief that there could be science only when the objects of concern were susceptible of measurement in the sense of physics was a credo that could not be violated without risks. Another, more honor able justification was that the numerical models were the only ones capable of feasible calculations. (In fact, these models were typically linear. ) An early example of such theorizing in psychology is factor analysis, which attempted to represent the results of mental tests in a real vector space of small dimen sionality, each subject being represented by a point in that space. A dimension Wa£ interpreted as a scale measuring some mental ability. The analysis was simple, and only required an electrical desk calculator (with spinning wheels), and a suitable amount of determination.
Book Synopsis Readings in Machine Learning by : Jude W. Shavlik
Download or read book Readings in Machine Learning written by Jude W. Shavlik and published by Morgan Kaufmann. This book was released on 1990 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business. Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.
Book Synopsis Agent-Oriented Programming by : Matthew M. Huntbach
Download or read book Agent-Oriented Programming written by Matthew M. Huntbach and published by Springer. This book was released on 2003-07-31 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: A book that furnishes no quotations is, me judice, no book – it is a plaything. TL Peacock: Crochet Castle The paradigm presented in this book is proposed as an agent programming language. The book charts the evolution of the language from Prolog to intelligent agents. To a large extent, intelligent agents rose to prominence in the mid-1990s because of the World Wide Web and an ill-structured network of multimedia information. Age- oriented programming was a natural progression from object-oriented programming which C++ and more recently Java popularized. Another strand of influence came from a revival of interest in robotics [Brooks, 1991a; 1991b]. The quintessence of an agent is an intelligent, willing slave. Speculation in the area of artificial slaves is far more ancient than twentieth century science fiction. One documented example is found in Aristotle’s Politics written in the fourth century BC. Aristotle classifies the slave as “an animate article of property”. He suggests that slaves or subordinates might not be necessary if “each instrument could do its own work at command or by anticipation like the statues of Daedalus and the tripods of Hephaestus”. Reference to the legendary robots devised by these mythological technocrats, the former an artificer who made wings for Icarus and the latter a blacksmith god, testify that the concept of robot, if not the name, was ancient even in Aristotle’s time.
