Advertisement

Oppositional Concepts in Computational Intelligence

  • Editors
  • Hamid R. Tizhoosh
  • Mario Ventresca

Part of the Studies in Computational Intelligence book series (SCI, volume 155)

Table of contents

  1. Front Matter
  2. Introduction

    1. H. R. Tizhoosh, Mario Ventresca
      Pages 1-8
  3. Part I: Motivations and Theory

    1. Front Matter
      Pages 9-9
    2. H. R. Tizhoosh, Mario Ventresca, Shahryar Rahnamayan
      Pages 11-28
    3. Florencio G. Asenjo
      Pages 45-57
  4. Part II: Search and Reasoning

    1. Front Matter
      Pages 59-59
    2. Luís Moniz Pereira, Alexandre Miguel Pinto
      Pages 61-89
    3. H. Jaap van den Herik, Mark H. M. Winands
      Pages 91-118
  5. Part III: Optimization

    1. Front Matter
      Pages 119-119
    2. Alice Ralickas Malisia
      Pages 121-142
    3. Shahryar Rahnamayan, H. R. Tizhoosh
      Pages 143-160
  6. Part IV: Learning

    1. Front Matter
      Pages 207-207
    2. Maryam Shokri, H. R. Tizhoosh, Mohamed S. Kamel
      Pages 233-253
    3. Mario Ventresca, H. R. Tizhoosh
      Pages 255-284
  7. Part V: Real World Applications

    1. Front Matter
      Pages 285-285
    2. Farhang Sahba, H. R. Tizhoosh
      Pages 287-297
    3. Masoud Mahootchi, H. R. Tizhoosh, Kumaraswamy Ponnambalam
      Pages 299-321
  8. Back Matter

About this book

Introduction

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 studied to any great length in fields outside of philosophy and logic. 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 the one hand, this volume is a fist attempt to bring together researchers who are inquiring into the complementary nature of systems and processes and, on the other hand, it provides 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 the authors 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. Therefore they have attempted to provide rough guidelines to understand what makes concepts "oppositional".

Keywords

Opposition-Based Computing algorithm algorithms argumentation calculus computational intelligence differential evolution evolution image segmentation intelligence learning multi-objective optimization optimization philosophy proving

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-70829-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-70826-1
  • Online ISBN 978-3-540-70829-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
Automotive
Chemical Manufacturing
Biotechnology
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering