Computational Modeling and Simulation of Intellect: Current State and Future Perspectives

Computational Modeling and Simulation of Intellect: Current State and Future Perspectives

Indexed In: SCOPUS
Release Date: May, 2011|Copyright: © 2011 |Pages: 686
DOI: 10.4018/978-1-60960-551-3
ISBN13: 9781609605513|ISBN10: 1609605519|EISBN13: 9781609605520
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Description & Coverage
Description:

With recent progress in information generation, users are experiencing increasing difficulties in processing the available amounts of high-dimensional data, extracting information from it, and eventually finding a meaning in the structured data.

Computational Modeling and Simulation of Intellect: Current State and Future Perspectives confronts the problem of meaning by fusing together methods specific to different fields and exploring the computational efficiency and scalability of these methods. Researchers, instructors, designers of information and management systems, users of these systems, and graduate students will acquire the fundamental knowledge needed to be at the forefront of the research and to use it in the applications. The topic is of great importance for information and management science and technology, both currently and in future.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Adaptive dynamic programming
  • Biogeography-based optimization
  • Computational efficiency
  • Fusion of interdisciplinary methods
  • Image Analysis
  • Machine Learning Algorithms
  • Problem of meaning
  • Scalability of methods
  • Simulation of a transmission
  • Visual navigation
Reviews & Statements

This interesting and ambitious book will assist researchers, users, developers, and designers of the information and management systems. It will also offer a comprehensive overview of computational and artificial intelligence issues to graduate students and other learners, who want a gentle, but rigorous introduction to the computational modeling and simulation of intellect.

– Dr. Jacek M. Zurada, University of Louisville, USA

The current volume edited by Dr. Boris Igelnik provides a superb perspective on this vast new field. The papers collected deal with both fundamental, theoretical problems as well as with specific, practical problems including the vital areas of medicine and environmental protection. Some of them provide very valuable state-of-the-art surveys of important subfields. The reader can get a deeper understanding of some already traditional approaches and learn about new ones. Dr. Igelnik has been very active in the field for many years and has participated in its development with many important contributions. Thanks to his excellent work and vision the volume will be a valuable reference and source of information on the fields concerned for researchers, graduate and postgraduate students as well as practitioners.

– Slawomir Zadrozny, Warszawa, Poland

A number of diverse methods and approaches from different fields are juxtaposed in hopes of some fusion or cross-fertilization in the pursuit of the modeling and simulation of intellect. Among those fields are computer science and engineering, electrical engineering, business, telecommunication, physiology, and statistics. In addition to explaining concepts, the studies cover applying artificial and computational methods to image and signal processing, robotics, control, medicine and environmental monitoring and protection, and learning.

– Book News, Reference - Research Book News - August 2011
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Editor/Author Biographies
Boris Igelnik received M.S. degree in electrical engineering from the Moscow Electrical Engineering Institute of Communication, M. S. degree in mathematics from the Moscow State University, and Ph.D. degree in Electrical Engineering from the Institute for Problems of Information Transmission, Academy of Sciences USSR, Moscow, Russia and the Moscow Electrical Engineering Institute of Communication. He is Chief Scientist at the BMI Research, Inc., Richmond Heights (Cleveland), OH, USA and Adjunct Associate Professor at Case Western Reserve University, Cleveland, OH, USA. His current research interests are in the areas of computational and artificial intelligence, digital signal processing, adaptive control, and computational models of intellect. Boris Igelnik is a Senior Member of IEEE.
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Editorial Advisory Board
  • Andrew Adamatzky, University of West England, UK
  • Boris Igelnik, BMI Research, Inc. and Case Western Reserve University, USA
  • Sheng Chen, University of Southampton, UK
  • Witold Kinzner, University of Manitoba, Canada
  • Frank Lewis, University of Texas at Arlington, USA
  • Tohru Nitta, National Institute of Advanced Industrial Science and Technology, Japan
  • Leonid Perlovsky, US Air Force Research Laboratory, USA
  • Dan Simon, Cleveland State University, USA
  • Janusz Starzyk, University of Ohio at Athens, USA