Books in Artificial intelligence expert systems and knowledge based systems

91-100 of 149 results in All results

Artificial Intelligence

• 1st Edition
• April 1, 1998
• Nils J. Nilsson
• English
• eBook 978-0-08-049945-1

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Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. The book provides a refreshing and motivating new synthesis of the field by one of AI's master expositors and leading researchers. Artificial Intelligence: A New Synthesis takes the reader on a complete tour of this intriguing new world of AI.

Fundamentals of the Theory of Computation: Principles and Practice

• 1st Edition
• April 1, 1998
• Raymond Greenlaw + 1 more
• English
• eBook 978-0-08-050710-1

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This innovative textbook presents the key foundational concepts for a one-semester undergraduate course in the theory of computation. It offers the most accessible and motivational course material available for undergraduate computer theory classes. Directed at undergraduates who may have difficulty understanding the relevance of the course to their future careers, the text helps make them more comfortable with the techniques required for the deeper study of computer science. The text motivates students by clarifying complex theory with many examples, exercises and detailed proofs.

Fuzzy Logic and Expert Systems Applications

• 1st Edition
• Volume 6
• December 11, 1997
• Cornelius T. Leondes
• Cornelius T. Leondes
• English
• eBook 978-0-08-055319-1

  9 7 8 - 0 - 0 8 - 0 5 5 3 1 9 - 1

This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to system identification and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will appreciate this reference source to diverse application methodologies.

Optimization Techniques

• 1st Edition
• Volume 2
• October 31, 1997
• Cornelius T. Leondes
• English
• eBook 978-0-08-055135-7

  9 7 8 - 0 - 0 8 - 0 5 5 1 3 5 - 7

Optimization Techniques is a unique reference source to a diverse array of methods for achieving optimization, and includes both systems structures and computational methods. The text devotes broad coverage toa unified view of optimal learning, orthogonal transformation techniques, sequential constructive techniques, fast back propagation algorithms, techniques for neural networks with nonstationary or dynamic outputs, applications to constraint satisfaction,optimization issues and techniques for unsupervised learning neural networks, optimum Cerebellar Model of Articulation Controller systems, a new statistical theory of optimum neural learning, and the role of the Radial Basis Function in nonlinear dynamical systems.This volume is useful for practitioners, researchers, and students in industrial, manufacturing, mechanical, electrical, and computer engineering.

Algorithms and Architectures

• 1st Edition
• Volume 1
• October 13, 1997
• Cornelius T. Leondes
• Cornelius T. Leondes
• English
• Hardback 978-0-12-443861-3

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• eBook 978-0-08-049898-0

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This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems. A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering.

Intelligent Environments

• 1st Edition
• March 20, 1997
• P. Droege
• English
• eBook 978-0-08-053484-8

  9 7 8 - 0 - 0 8 - 0 5 3 4 8 4 - 8

The environment, as modified and created by people, is largely about the use of information, its generation and exchange. How do recent innovations in the technologies of information management and communication affect our use of space and place, and the way we perceive and think about our surroundings?This volume provides an international, exploratory forum for the complex phenomenon of new information and communication technology as it permeates and transforms our physical world, and our relation to it: the architectural definition of our surrounding, geographical space, urban form and immediate habitats. This book is a reader, an attempt at registering disciplinary changes in context, at tracing subtexts for which most mainstream disciplines have no established language. The project is to give voice to an emerging meta-discipline that has its logic across the specializations.A wide range of professionals and academics report findings, views and ideas. Together, they describe the architecture of a postmodern paradigm: how swiftly mutating the proliferating technology applications have begun to interact with the construction and reading of physical space in architecture, economics, geography, history, planning, social sciences, transport, visual art - but also in the newer domains that have joined this spectrum through the very nature of their impacts: information technology and telecommunications.The space navigated in this volume is vast, both in physical terms and in its virtual and analogous form. It ranges from the space that immediately encompasses, or is simulated to encompass, the human body - as in buildings and virtual tectonics - to that of towns and regions. We stay clear of molecular-scale space, and of dimensions that are larger than earth.

Parallel Processing for Artificial Intelligence 3

• 1st Edition
• Volume 20
• February 10, 1997
• J. Geller + 2 more
• English
• eBook 978-0-08-055382-5

  9 7 8 - 0 - 0 8 - 0 5 5 3 8 2 - 5

The third in an informal series of books about parallel processing for Artificial Intelligence, this volume is based on the assumption that the computational demands of many AI tasks can be better served by parallel architectures than by the currently popular workstations. However, no assumption is made about the kind of parallelism to be used. Transputers, Connection Machines, farms of workstations, Cellular Neural Networks, Crays, and other hardware paradigms of parallelism are used by the authors of this collection.The papers arise from the areas of parallel knowledge representation, neural modeling, parallel non-monotonic reasoning, search and partitioning, constraint satisfaction, theorem proving, parallel decision trees, parallel programming languages and low-level computer vision. The final paper is an experience report about applications of massive parallelism which can be said to capture the spirit of a whole period of computing history.This volume provides the reader with a snapshot of the state of the art in Parallel Processing for Artificial Intelligence.

Topological Algorithms for Digital Image Processing

• 1st Edition
• Volume 19
• July 17, 1996
• T.Y. Kong + 1 more
• English
• eBook 978-0-08-055204-0

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Basic topological algorithms are the subject of this new book. It presents their underlying theory and discusses their applications.Due to the wide variety of topics treated in the seven chapters, no attempt has been made to standardize the notation and terminology used by the authors. Each chapter, however, is self-contained and can be read independently of the others. Some of the basic terminology and fundamental concepts of digital topology are reviewed in the appendix which also describes important areas of the field. A bibliography of over 360 references is also provided.The notations and terminologies used in this book will serve to introduce readers to the even wider variety that exists in the voluminous literature dealing with topological algorithms.

Intelligent Systems in Process Engineering, Part I: Paradigms from Product and Process Design

• 1st Edition
• Volume 21
• October 3, 1995
• Chonghun Han + 6 more
• English
• eBook 978-0-08-056568-2

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Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling, or control. Along with the engineering problem, each paradigm advances a specific methodological theme from AI, such as: modeling languages; automation in design; symbolic and quantitative reasoning; inductive and deductive reasoning; searching spaces of discrete solutions; non-monotonic reasoning; analogical learning;empirical learning through neural networks; reasoning in time; and logic in numerical computing. Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge that can be articulated and used in solving a broad range of engineering problems.

Intelligent Robots and Systems

• 1st Edition
• September 27, 1995
• V. Graefe
• English
• eBook 978-0-08-053485-5

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Of the 300 papers presented during IROS '94, 48 were selected because they are particularly significant and characteristic for the present state of the technology of intelligent robots and systems. This book contains the selected papers in a revised and expanded form.Robotics and intelligent systems constitute a very wide and truly interdisciplinary field. The papers have been grouped into the following categories:– Sensing and Perception – Learning and Planning– Manipulation– Telerobotics and Space Robotics– Multiple Robots– Legged Locomotion– Mobile Robot Systems– Robotics in MedicineOther additional fields covered include; control, navigation and simulation. Since many researchers in robotics are now apparently interested in some combination of learning, mobile robots and robot vision, most of the articles included relate to at least one of these fields.