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Future Directions for Intelligent Systems and Information Sciences

By Nikola Kasabov, Auckland University of Technology, Auckland, New Zealand

Future Directions for Intelligent Systems and Information Sciences book coverFuture Directions for Intelligent Systems and Information Sciences
The Future of Speech and Image Technologies, Brain Computers, WWW, and Bioinformatics
Series: Studies in Fuzziness and Soft Computing , Vol. 45
Kasabov, Nikola (Ed.)
2000, VIII, 424 p. 116 illus., Hardcover
ISBN: 978-3-7908-1276-3

About this book
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.

Written for
Researchers

Table of contents
Part I: Adaptive, evolving, learning systems: N. Kasbov: ECOS - Evolving Connectionist Systems - a new/old paradigm for on-line learning and knowledge engineering.- S.-B. Cho: Artificial life technology for adaptive information processing.- R.J. Duro, J. Santos, J.A. Becerra: Evolving ANN controllers for smart mobile robots.- G. Coghill: A simulation environment for the manipulation of naturally variable objects.- Y. Maeda: Behavior-decision fuzzy algorithm for autonomous mobile robot.- J. Taylor, N. Kasabov: Modelling the emergence of speech and language through evolving connectionist systems.

Part II: Intelligent human computer interaction and scientific visualisation: H.J. van den Herik, E.O. Postma: Discovering the visual signature of painters.- A. Nijholt, J. Hulstijn: Multimodal interactions with agents in virtual worlds.- M. Paulin, R. Berquist: Virtual BioBots.

Part III: New connectionist computational paradigms: Brainlike computing and quantum neural networks: J.G. Taylor: Future directions for neural networks and intelligent systems from the brain imaging research.- A.A. Ezhov, D. Ventura: Quantum neural networks.- N.G. Stocks, R. Mannella: Suprathreshold stochastic resonance in a neuronal network model: a possible strategy for sensory coding.

Part IV: Bioinformatics: C. Brown, M. Schreiber, B. Chapman, G. Jacobs: Information science and bioinformatics.- V.B. Bajic, I.V. Bajic: Neural network system for promoter recognition.

Part V: Knowledge representation, knowledge processing, knowledge discovery, and some applications: W. Pedrycz: Granular computing: An introduction.- J. Kacpzryk: A new paradigm shift from computation on numbers to computation on words on an example of linguistic database summarization.- N. Kasabov, L. Erzegovezi, M. Fedrizzi, A. Beber, D. Deng: Hybrid intelligent decision support systems and applications for risk analysis and discovery of evolving economic clusters in Europe.- Y.Y. Yun: Intelligent resource management through the constrained resource planning model.- A. Ramer, M. do Carmo Nicoletti, S.Y. Sung: Evaluative studies of fuzzy knowledge discovery through NF systems.


Last updated: 02 Dec 2011 10:07am

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