Future Directions for Intelligent Systems and Information Sciences: The Future of Speech and Image Technologies, Brain Computers, WWW, and Bioinformatics

ISBN-13: 9783790812763 / Angielski / Twarda / 2000 / 412 str.

Nikola Kasabov

Opis

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.

Spis treści

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.-