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Books in Artificial intelligence

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501-510 of 523 results in All results

Single Neuron Computation

  • 1st Edition
  • September 12, 1988
  • Thomas M. McKenna + 2 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 6 0 6 - 7
This book contains twenty-two original contributions that provide a comprehensive overview of computational approaches to understanding a single neuron structure. The focus on cellular-level processes is twofold. From a computational neuroscience perspective, a thorough understanding of the information processing performed by single neurons leads to an understanding of circuit- and systems-level activity. From the standpoint of artificial neural networks (ANNs), a single real neuron is as complex an operational unit as an entire ANN, and formalizing the complex computations performed by real neurons is essential to the design of enhanced processor elements for use in the next generation of ANNs.The book covers computation in dendrites and spines, computational aspects of ion channels, synapses, patterned discharge and multistate neurons, and stochastic models of neuron dynamics. It is the most up-to-date presentation of biophysical and computational methods.

Practical Planning

  • 1st Edition
  • September 1, 1988
  • David E. Wilkins
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 5 1 4 4 7 - 5
Planning, or reasoning about actions, is a fundamental element of intelligent behavior--and one that artificial intelligence has found very difficult to implement. The most well-understood approach to building planning systems has been under refinement since the late 1960s and has now reached a level of maturity where there are good prospects for building working planners.Practical Planning is an in-depth examination of this classical planning paradigm through an intensive case study of SIPE, a significantly implemented planning system. The author, the developer of SIPE, defines the planning problem in general, explains why reasoning about actions is so complex, and describes all parts of the SIPE system and the algorithms needed to achieve efficiency. Details are discussed in the context of problems and important issues in building a practical planner; discussions of how other systems address these issues are also included.Assuming only a basic background in AI, Practical Planning will be of great interest to professionals interested in incorporating planning capabilities into AI systems.

Probabilistic Reasoning in Intelligent Systems

  • 1st Edition
  • September 1, 1988
  • Judea Pearl
  • English
  • Paperback
    9 7 8 - 1 - 5 5 8 6 0 - 4 7 9 - 7
  • eBook
    9 7 8 - 0 - 0 8 - 0 5 1 4 8 9 - 5
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

Cognition and Action in Skilled Behaviour

  • 1st Edition
  • Volume 55
  • September 1, 1988
  • A.M. Colley + 1 more
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 8 6 7 0 9 - 0
This book contains a number of chapters on the control and execution of skilled movements, as well as more general chapters on theoretical issues in skilled performance. The contributors have summarised their most recent research, and general themes and issues are presented in discussion chapters at the end of each section, thus providing a good general summary of the kind of research and theoretical frameworks developing in this area.The first section is concerned with the theoretical issues of programming and co-ordination. Issues raised in the second section are basic to much of the research reviewed in the volume. This section summarises the various theoretical positions in the recent debates on the role of cognitive processes in motor control and the usefulness of the ``psychomotor'' approach, and contains chapters based on individual papers which present relevant empirical findings. The third section deals with the learning and performance of skilled movements, containing papers with practical implications for everyday skills. The final section contains chapters on cognitive processes in skilled performance.

Advanced Neural Computers

  • 1st Edition
  • May 13, 1988
  • R. Eckmiller
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 4 2 7 - 8
This book is the outcome of the International Symposium on Neural Networks for Sensory and Motor Systems (NSMS) held in March 1990 in the FRG. The NSMS symposium assembled 45 invited experts from Europe, America and Japan representing the fields of Neuroinformatics, Computer Science, Computational Neuroscience, and Neuroscience.As a rapidly-published report on the state of the art in Neural Computing it forms a reference book for future research in this highly interdisciplinary field and should prove useful in the endeavor to transfer concepts of brain function and structure to novel neural computers with adaptive, dynamical neural net topologies.A feature of the book is the completeness of the references provided. An alphabetical list of all references quoted in the papers is given, as well as a separate list of general references to help newcomers to the field. A subject index and author index also facilitate access to various details.

The Adaptive Brain II

  • 1st Edition
  • February 1, 1988
  • Stephen Grossberg
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 2 7 0 - 0
The Adaptive Brain, II: Vision, Speech, Language, and Motor Control focuses on a unified theoretical analysis and predictions of important psychological and neurological data that illustrate the development of a true theory of mind and brain. The publication first elaborates on the quantized geometry of visual space and neural dynamics of form perception. Discussions focus on reflectance rivalry and spatial frequency detection, figure-ground separation by filling-in barriers, and disinhibitory propagation of functional scaling from boundaries to interiors. The text then takes a look at neural dynamics of perceptual grouping and brightness perception. Topics include simulation of a parametric binocular brightness study, smoothly varying luminance contours versus steps of luminance change, macrocircuit of processing stages, paradoxical percepts as probes of adaptive processes, and analysis of the Beck theory of textural segmentation. The book examines the neural dynamics of speech and language coding and word recognition and recall, including automatic activation and limited-capacity attention, a macrocircuit for the self-organization of recognition and recall, role of intra-list restructuring arid contextual associations, and temporal order information across item representations. The manuscript is a vital source of data for scientists and researchers interested in the development of a true theory of mind and brain.

Cognitive Psychology and Reading in the USSR

  • 1st Edition
  • Volume 49
  • January 1, 1988
  • J. Downing
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 8 6 7 0 3 - 8
The ideas of Soviet specialists on the psychology and teaching of reading are here made available in English.The volume gives an overview of psychology and education in the U.S.S.R., and presents translations of the work of major Soviet authors, such as Elkonin and Luria. The contributions offer many valuable proposals for teaching literacy which are quite unique outside of the Soviet Union. A concluding chapter provides a commentary, tracing the links between these specialist contributions and the general cognitive theories of Vygotsky.The result of ten years of research, this book was completed by Professor Downing shortly before he passed away in June 1987.

Readings in Computer Vision

  • 1st Edition
  • June 1, 1987
  • Martin A. Fischler + 1 more
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 5 1 5 8 1 - 6
The field of computer vision combines techniques from physics, mathematics, psychology, artificial intelligence, and computer science to examine how machines might construct meaningful descriptions of their surrounding environment. The editors of this volume, prominent researchers and leaders of the SRI International AI Center Perception Group, have selected sixty papers, most published since 1980, with the viewpoint that computer vision is concerned with solving seven basic problems:Reconstructing 3D scenes from 2D imagesDecomposing images into their component partsRecognizing and assigning labels to scene objectsDeducing and describing relations among scene objectsDetermining the nature of computer architectures that can support the visual functionRepresenting abstractions in the world of computer memoryMatching stored descriptions to image representationEach chapter of this volume addresses one of these problems through an introductory discussion, which identifies major ideas and summarizes approaches, and through reprints of key research papers. Two appendices on crucial assumptions in image interpretation and on parallel architectures for vision applications, a glossary of technical terms, and a comprehensive bibliography and index complete the volume.

Approximate Reasoning in Intelligent Systems, Decision and Control

  • 1st Edition
  • April 12, 1987
  • E. Sanchez + 1 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 4 3 8 - 4
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.

Adaptive Intelligent Systems

  • 1st Edition
  • March 15, 1987
  • Society for Worldwide Society for Worldwide Interban
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 8 1 5 - 3
Dedicated to the consideration of advanced I.T. technologies and their financial applications, this volume contains contributions from an international group of system developers and managers from academia, the financial industry and their suppliers: all actively involved in the development and practical introduction of these technologies into banking and financial organisations.Concentrating on real experience and present needs, rather than theoretical possibilities or limited prototype applications, it is hoped the publication will give a better insight into advanced I.T. practice and potential as it currently exists and motivate today's developers and researchers.In addition to the discussion of a wide range of technologies and approaches to ensure adaptivity, three other major topics are explored in the book: neural networks, classical software engineering techniques and rule-based systems.

Related subjects

Artificial intelligence expert systems and knowledge based systems

Artificial intelligence general

Cognitive science

Computer human interaction

Evolutionary computation genetic algorithms programming

Fuzzy logic

Machine learning

Natural language and computational linguistics

Neural networks

Planning and scheduling

Reasoning

Robotics and autonomous systems