Computational Intelligence
Overview
- Editors:
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Christine L. Mumford
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School of Computer Science, Cardiff University , Cardiff, UK
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Lakhmi C. Jain
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University of South Australia Adelaide , South Australia, Australia
- Latest research in the area of theory and applications of fusion of intelligent paradigms
About this book
This book is about synergy in computational intelligence (CI). It is a c- lection of chapters that covers a rich and diverse variety of computer-based techniques, all involving some aspect of computational intelligence, but each one taking a somewhat pragmatic view. Many complex problems in the real world require the application of some form of what we loosely call “intel- gence”fortheirsolution. Fewcanbesolvedbythenaiveapplicationofasingle technique, however good it is. Authors in this collection recognize the li- tations of individual paradigms, and propose some practical and novel ways in which di?erent CI techniques can be combined with each other, or with more traditional computational techniques, to produce powerful probl- solving environments which exhibit synergy, i. e. , systems in which the whole 1 is greater than the sum of the parts . Computational intelligence is a relatively new term, and there is some d- agreement as to its precise de?nition. Some practitioners limit its scope to schemes involving evolutionary algorithms, neural networks, fuzzy logic, or hybrids of these. For others, the de?nition is a little more ?exible, and will include paradigms such as Bayesian belief networks, multi-agent systems, case-based reasoning and so on. Generally, the term has a similar meaning to the well-known phrase “Arti?cial Intelligence” (AI), although CI is p- ceived moreas a “bottom up” approachfrom which intelligent behaviour can emerge,whereasAItendstobestudiedfromthe“topdown”,andderivefrom pondering upon the “meaning of intelligence”. (These and other key issues will be discussed in more detail in Chapter 1.
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Table of contents (22 chapters)
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Fusing Evolutionary Algorithms and Fuzzy Logic
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- Hisao Ishibuchi, Yusuke Nojima
Pages 131-173
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Adaptive Solution Schemes
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Front Matter
Pages 175-175
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- Edmund K. Burke, Mathew R. Hyde, Graham Kendall, Gabriela Ochoa, Ender Ozcan, John R. Woodward
Pages 177-201
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- James E. Borrett, Edward P. K. Tsang
Pages 203-230
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Multi-agent Systems
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Front Matter
Pages 231-231
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- Mahmoud Efatmaneshnik, Carl Reidsema
Pages 275-320
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- Mair Allen-Williams, Nicholas R. Jennings
Pages 321-360
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- Minjie Zhang, Quan Bai, Fenghui Ren, John Fulcher
Pages 361-399
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Computer Vision
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Front Matter
Pages 401-401
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- Sheryl Brahnam, Loris Nanni
Pages 403-439
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- B. Zhan, P. Remagnino, D. N. Monekosso, S. Velastin
Pages 441-472
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Communications for CI Systems
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Front Matter
Pages 473-473
Editors and Affiliations
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School of Computer Science, Cardiff University , Cardiff, UK
Christine L. Mumford
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University of South Australia Adelaide , South Australia, Australia
Lakhmi C. Jain