Book: Applied Computational Intelligence: How to Create Value

2.2 Applied Computational Intelligence: How to Create Value
Posted by: Arthur Kordon (akordon@dow.com)
Date submitted: Nov. 24th, 2009

Content:
Applied Computational Intelligence: How to Create Value
Arthur Kordon
Springer Verlag, 481 pp., Hardcover, December 2009
ISBN: 978-3-540-69910-1
http://www.springer.com/978-3-540-69910-1

DESCRIPTION
The flow of academic ideas in the area of computational intelligence is
impacting industrial practice at considerable speed. Practitioners face the
challenge of tracking, understanding and applying the latest techniques,
which often prove their value even before the underlying theories are fully
understood. This book offers realistic guidelines on creating value from the
application of computational intelligence methods.

In Part I, the author offers simple explanations of the key computational
intelligence technologies: fuzzy logic, neural networks, support vector
machines, evolutionary computation, swarm intelligence, and intelligent
agents. In Part II, he defines the typical business environment and analyzes
the competitive advantages these techniques offer. In Part III, he
introduces a methodology for effective real-world application of
computational intelligence while minimizing development cost, and he
outlines the critical, underestimated technology marketing efforts required.
The methodology can improve the existing capabilities of Six Sigma, one of
the most popular work processes in industry. Finally, in Part IV the author
looks to technologies still in the research domain, such as perception-based
computing, artificial immune systems, and systems with evolved structure,
and he examines the future for computational intelligence applications while
taking into account projected industrial needs.

The author adopts a light tone in the book, visualizes many of the
techniques and ideas, and supports the text with notes from successful
implementations. The book is ideal for engineers implementing these
techniques in the real world, managers charged with creating value and
reducing costs in the related industries, and scientists in computational
intelligence looking towards the application of their research.

Table of Contents:
Part I: Computational Intelligence for the Masses
Chapter 1: Computational vs. Artificial Intelligence.
Chapter 2: A Roadmap Through the Computational Intelligence Maze.
Chapter 3: Fuzzy Systems: Lets Get Fuzzy.
Chapter 4: Machine Learning: The Ghost in the Learning Machine.
Chapter 5. Evolutionary Computation: The Profitable Gene.
Chapter 6: Swarm Intelligence: The Benefits of the Swarms.
Chapter 7: Intelligent Agents: The Computer Intelligence Agency (CIA).
Part II: Computational Intelligence Creates Value
Chapter 8: Why We Need Intelligent Solutions?.
Chapter 9: Competitive Advantages of Computational Intelligence.
Chapter 10: Issues in Applying Computational Intelligence.
Part III: Computational Intelligence Application Strategy
Chapter 11: Integrate & Conquer.
Chapter 12: How to Apply Computational Intelligence?.
Chapter 13: Computational Intelligence Marketing.
Chapter 14: Examples of Computational Intelligence Industrial Applications.
Part IV: The Future of Applied Computational Intelligence
Chapter 15: Future Directions of Applied Computational Intelligence
Glossary
Index

Arthur K. Kordon is a Data Mining and Modeling Leader in the Data Mining and
Modeling Capability of The Dow Chemical Company. He is an internationally
recognized expert in applying emerging technologies in industry, and has
given talks and chaired panels on the topic at the major computational
intelligence conferences such as WCCI and GECCO. He has successfully
introduced several novel technologies for improved manufacturing and new
product design in the chemical industry, and his research interests include
application issues of computational intelligence, robust empirical modeling,
intelligent process monitoring and control, and data mining.
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