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Elsevier

Books in Artificial intelligence expert systems and knowledge based systems

  • Applications of Artificial Intelligence

    • 1st Edition
    • Volume 47
    • English
    Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in hardware and software and in computer theory, design, and applications. It has also provided contributors with a medium in which they can examine their subjects in greater depth and breadth than that allowed by standard journal articles. As a result, many articles have become standard references that continue to be of significant, lasting value despite the rapid growth taking place in the field.Volume 47 contains seven chapters. The first four cover artificial intelligence, which is the use of technology to perform tasks generally assumed to require human thinking. These chapters present natural language processing, visualization, and self-replication as machine implementations of human activities. The remaining three chapters cover other recent advances that are important to the information processing field.

  • RADIUS

    Image Understanding for Imagery Intelligence
    • 1st Edition
    • Oscar Firschein + 1 more
    • English
    Technical reports prepared for the DARPA Image Understanding Program

  • Building Intelligent Agents

    An Apprenticeship, Multistrategy Learning Theory, Methodology, Tool and Case Studies
    • 1st Edition
    • Gheorghe Tecuci
    • English
    Building Intelligent Agents is unique in its comprehensive coverage of the subject. The first part of the book presents an original theory for building intelligent agents and a methodology and tool that implement the theory. The second part of the book presents complex and detailed case studies of building different types of agents: an educational assessment agent, a statistical analysis assessment and support agent, an engineering design assistant, and a virtual military commander. Also featured in this book is Disciple, a toolkit for building interactive agents which function in much the same way as a human apprentice. Disciple-based agents can reason both with incomplete information, but also with information that is potentially incorrect. This approach, in which the agent learns its behavior from its teacher, integrates many machine learning and knowledge acquisition techniques, taking advantage of their complementary strengths to compensate for each others weakness. As a consequence, it significantly reduces (or even eliminates) the involvement of a knowledge engineer in the process of building an intelligent agent.

  • Foundations of Genetic Algorithms 1997 (FOGA 4)

    • 1st Edition
    • Richard Belew + 1 more
    • English

  • Artificial Intelligence

    A New Synthesis
    • 1st Edition
    • Nils J. Nilsson
    • English
    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

    Principles and Practice
    • 1st Edition
    • Raymond Greenlaw + 1 more
    • English
    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.

  • Proceedings of the 1989-97 DARPA Speech Recognition and Natural Language Workshops

    • 1st Edition
    • DARPA
    • English
    Proceedings of meetings related to the DARPA speech and natural language research programs. The series is currently titled Speech Recognition Workshops; in past years, the conferences for the program have been called either Spoken Language Technology Conferences or the Speech and Natural Language Processing Workshops.

  • Fuzzy Logic and Expert Systems Applications

    • 1st Edition
    • Volume 6
    • Cornelius T. Leondes
    • English
    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
    • Cornelius T. Leondes
    • English
    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,optimiz... 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
    • Cornelius T. Leondes
    • English
    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.