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Future Directions for Intelligent Systems and Information Sciences

The Future of Speech and Image Technologies, Brain Computers, WWW, and Bioinformatics

  • Nikola Kasabov
Book

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 45)

Table of contents

  1. Front Matter
    Pages I-VIII
    PDF

  2. Adaptive, Evolving, Learning Systems

    1. Front Matter
      Pages 1-1
      PDF
    2. ECOS — Evolving Connectionist Systems — a New/Old Paradigm for On-line Learning and Knowledge Engineering
      Nikola Kasabov
      Pages 3-12
    3. Artificial Life Technology for Adaptive Information Processing
      Sung-Bae Cho
      Pages 13-33
    4. Evolving ANN Controllers for Smart Mobile Robots
      R. J. Duro, J. Santos, J. A. Becerra
      Pages 34-64
    5. A Simulation Environment for the Manipulation of Naturally Variable Objects
      George Coghill
      Pages 65-74
    6. Behavior-Decision Fuzzy Algorithm for Autonomous Mobile Robot
      Yoichiro Maeda
      Pages 75-101
    7. Modelling the Emergence of Speech and Language Through Evolving Connectionist Systems
      John Taylor, Nikola Kasabov
      Pages 102-125

  3. Intelligent Human Computer Interaction and Scientific Visualisation

    1. Front Matter
      Pages 127-127
      PDF
    2. Discovering the Visual Signature of Painters
      H. Jaap van den Herik, Eric O. Postma
      Pages 129-147
    3. Multimodal Interactions with Agents in Virtual Worlds
      Anton Nijholt, Joris Hulstijn
      Pages 148-173
    4. Virtual BioBots
      Michael Paulin, Rachel Berquist
      Pages 174-187

  4. New Connectionist Computational Paradigms: Brain-Like Computing and Quantum Neural Networks

    1. Front Matter
      Pages 189-189
      PDF
    2. Future Directions for Neural Networks and Intelligent Systems from the Brain Imaging Research
      John G. Taylor
      Pages 191-212
    3. Quantum Neural Networks
      Alexandr A. Ezhov, Dan Ventura
      Pages 213-235
    4. Suprathreshold Stochastic Resonance in a Neuronal Network Model: a Possible Strategy for Sensory Coding
      Nigel G. Stocks, Riccardo Mannella
      Pages 236-247

  5. Bioinformatics

    1. Front Matter
      Pages 249-249
      PDF
    2. Information Science and Bioinformatics
      Chris Brown, Mark Schreiber, Bernice Chapman, Grant Jacobs
      Pages 251-287
    3. Neural Network System for Promoter Recognition
      Vladimir B. Bajić, Ivan V. Bajić
      Pages 288-305

  6. Knowledge Representation, Knowledge Processing, Knowledge Discovery and Some Applications

    1. Front Matter
      Pages 307-307
      PDF
    2. Granular Computing : An Introduction
      Witold Pedrycz
      Pages 309-328
    3. A New Paradigm Shift from Computation on Numbers to Computation on Words on an Example of Linguistic Database Summarization
      Janusz Kacprzyk
      Pages 329-346
    4. Hybrid Intelligent Decision Support Systems and Applications for Risk Analysis and Discovery of Evolving Economic Clusters in Europe
      N. Kasabov, L. Erzegovesi, M. Fedrizzi, A. Beber, D. Deng
      Pages 347-372
    5. Intelligent Resource Management Through the Constrained Resource Planning Model
      David Y. Y. Yun
      Pages 373-386
    6. Evaluative Studies of Fuzzy Knowledge Discovery through NF Systems
      Arthur Ramer, Maria Carmo do Nicoletti, Sam Yuan Sung
      Pages 387-411
  7. Back Matter
    Pages 412-412
    PDF

About this book

Introduction

The book introduces and discusses the future trends in computer science and artificial intelligence. These trends include image and speech technologies; virtual reality and multimedia systems; evolving systems and artificial life; artificial and natural neural networks; brain-computers; the Web, the intelligent agents on it, and the distributed processing systems; mobile robots in a real and in a virtual environment; bioinformatics, and the marriage of genetic engineering and information science. The book comprises chapters written by well known specialists in this field and can be used by scientists and graduate students from different areas, as well as by a wider audience of people interested in the present and future development of intelligent systems, in all areas of information sciences.

Keywords

Radiologieinformationssystem WWW agents artificial life bioinformatics informatics intelligent systems interaction knowledge discovery learning multimedia networks neural networks robot visualization

Editors and affiliations

  • Nikola Kasabov
    • 1
  1. 1.Department of Information ScienceUniversity of OtagoDunedinNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1856-7
  • Copyright Information Physica-Verlag Heidelberg 2000
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2470-4
  • Online ISBN 978-3-7908-1856-7
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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