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Item Details
Title: FUTURE DIRECTIONS FOR INTELLIGENT SYSTEMS AND INFORMATION SCIENCES
THE FUTURE OF SPEECH AND IMAGE TECHNOLOGIES, BRAIN COMPUTERS, WWW, AND BIOINFORMATICS
By: Nikola K. Kasabov (Editor)
Format: Hardback

List price: £139.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 3790812765
ISBN 13: 9783790812763
Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
Pub. date: 4 August, 2000
Edition: 2000 ed.
Series: Studies in Fuzziness and Soft Computing 45
Pages: 412
Description: This text 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 the natural neural networks
Synopsis: This edited volume comprises invited chapters that cover five areas of the current and the future development of intelligent systems and information sciences. Half of the chapters were presented as invited talks at the Workshop "Future Directions for Intelligent Systems and Information Sciences" held in Dunedin, New Zealand, 22-23 November 1999 after the International Conference on Neuro-Information Processing (lCONIPI ANZIISI ANNES '99) held in Perth, Australia. In order to make this volume useful for researchers and academics in the broad area of information sciences I invited prominent researchers to submit materials and present their view about future paradigms, future trends and directions. Part I contains chapters on adaptive, evolving, learning systems. These are systems that learn in a life-long, on-line mode and in a changing environment. The first chapter, written by the editor, presents briefly the paradigm of Evolving Connectionist Systems (ECOS) and some of their applications. The chapter by Sung-Bae Cho presents the paradigms of artificial life and evolutionary programming in the context of several applications (mobile robots, adaptive agents of the WWW). The following three chapters written by R.Duro, J.Santos and J.A.Becerra (chapter 3), GCoghill . (chapter 4), Y.Maeda (chapter 5) introduce new techniques for building adaptive, learning robots.
Illustrations: 33 Tables, black and white; VIII, 412 p.
Publication: Germany
Imprint: Physica-Verlag GmbH & Co
Returns: Returnable
Some other items by this author:
ADVANCES IN NEURO-INFORMATION PROCESSING (PB)
ADVANCES IN NEURO-INFORMATION PROCESSING (PB)
ARTIFICIAL NEURAL NETWORKS (HB)
ARTIFICIAL NEURAL NETWORKS (PB)
COMPUTATIONAL NEUROGENETIC MODELING (HB)
COMPUTATIONAL NEUROGENETIC MODELING (PB)
DATA ANALYSIS AND KNOWLEDGE DISCOVERY (HB)
EVOLVING CONNECTIONIST SYSTEMS (PB)
EVOLVING CONNECTIONIST SYSTEMS (PB)
EVOLVING INTELLIGENT SYSTEMS
EVOLVING INTELLIGENT SYSTEMS (HB)
FUTURE DIRECTIONS FOR INTELLIGENT SYSTEMS AND INFORMATION SCIENCES (PB)
INCREMENTAL LEARNING IN INTELLIGENT SYSTEMS (HB)
INTELLIGENT AGENTS AND MULTI-AGENT SYSTEMS (PB)
NEURAL INFORMATION PROCESSING (PB)
NEURO-FUZZY TECHNIQUES FOR INTELLIGENT INFORMATION SYSTEMS (HB)
NOVEL APPLICATIONS OF INTELLIGENT SYSTEMS (HB)
SPRINGER HANDBOOK OF BIO-/NEURO-INFORMATICS (HB)
TIME-SPACE, SPIKING NEURAL NETWORKS AND BRAIN-INSPIRED ARTIFICIAL INTELLIGENCE (HB)

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