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

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

Copyright: © 2011 |Pages: 686
ISBN13: 9781609605513|ISBN10: 1609605519|EISBN13: 9781609605520
DOI: 10.4018/978-1-60960-551-3
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MLA

Igelnik, Boris, editor. Computational Modeling and Simulation of Intellect: Current State and Future Perspectives. IGI Global, 2011. https://doi.org/10.4018/978-1-60960-551-3

APA

Igelnik, B. (Ed.). (2011). Computational Modeling and Simulation of Intellect: Current State and Future Perspectives. IGI Global. https://doi.org/10.4018/978-1-60960-551-3

Chicago

Igelnik, Boris, ed. Computational Modeling and Simulation of Intellect: Current State and Future Perspectives. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-551-3

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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.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Editorial Advisory Board
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Foreword
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Foreword
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Preface
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Acknowledgment
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Chapters
Application of AI and CI Methods to Image and Signal Processing, Robotics, and Control
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Application of AI and CI Methods to Medicine and Environment Monitoring and Protection
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Chapter 3
Concepts  (pages 264-264)
Concepts
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Application of AI and CI Methods to Learning
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Back Materials
Compilation of References
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About the Contributors
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Index
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