Studies in Computational Intelligence : Studies in Computational Intelligence - Hamid R. Tizhoosh

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Studies in Computational Intelligence

By: Hamid R. Tizhoosh (Editor), M. Ventresca (Editor)

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Hardcover | 1 October 2008

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"Theoppositeofacorrectstatementisafalsestatement.Buttheopposite of a profound truth may well be another profound truth." - Niels Bohr This volume is motivated in part by the observation that opposites permeate everything around us, in some form or another. Its study has attracted the attention of countless minds for at least 2500 years. However, due to the lack of an accepted mathematical formalism for opposition it has not been explicitly studiedtoanygreatlengthin?eldsoutsideofphilosophyandlogic.This,despite the fact that we observe opposition everywhere in nature, our minds seem to divide the world into entities and opposite entities; indeed we use opposition everyday. We have become so accustomed to opposition that its existence is accepted, not usually questioned and its importance is constantly overlooked. On one hand, this volume is a ?st attempt to bring together researchers who are inquiring into the complementary nature of systems and processes and, on the other hand, provide some elementary components for a framework to establish a formalism for opposition-based computing. From a computational intelligence perspective, many successful opposition-based concepts have been in existence for a long time. It is not our intention to recast these existing methods, rather to elucidate that, while diverse, they all share the commonality of opposition - in one form or another, either implicitly or explicitly. To this end, we have attempted to provide rough guidelines to understand what makes concepts "oppositional".

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Mathematics Applied Mathematics Graphical & Digital Media Applications Computer-Aided Design CAD Engineering & Technology Technology in General Maths for Engineers

Introduction	p. 1
Motivations and Theory
Opposition-Based Computing	p. 11
Antithetic and Negatively Associated Random Variables and Function Maximization	p. 29
Opposition and Circularity	p. 45
Search and Reasoning
Collaborative vs. Conflicting Learning, Evolution and Argumentation	p. 61
Proof-Number Search and Its Variants	p. 91
Optimization
Improving the Exploration Ability of Ant-Based Algorithms	p. 121
Differential Evolution Via Exploiting Opposite Populations	p. 143
Evolving Opposition-Based Pareto Solutions: Multiobjective Optimization Using Competitive Coevolution	p. 161
Learning
Bayesian Ying-Yang Harmony Learning for Local Factor Analysis: A Comparative Investigation	p. 209
The Concept of Opposition and Its Use in Q-Learning and Q([lambda]) Techniques	p. 233
Two Frameworks for Improving Gradient-Based Learning Algorithms	p. 255
Real World Applications
Opposite Actions in Reinforced Image Segmentation	p. 287
Opposition Mining in Reservoir Management	p. 299
Index	p. 323
Author Index	p. 327
Table of Contents provided by Ingram. All Rights Reserved.

Studies in Computational Intelligence

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