Oppositional concepts in computational intelligence

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 e...

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Autor principal: Tizhoosh, Hamid R.
Altres autors: Ventresca, M. (Editor), Kacprzyk, Janusz, 1947- (Director editorial), Tizhoosh, Hamid R., 19..- (Director editorial), Ventresca, Mario, 19..- (Director editorial)
Format: Livre numérique
Idioma:Anglais
Publicat: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edició:1st ed. 2008.
Col·lecció:Studies in Computational Intelligence 155
Accés en línia:Accès sur la plateforme de l'éditeur
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Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Oppositional Concepts in Computational Intelligence, Texte imprimé, 9783540867036
• Oppositional Concepts in Computational Intelligence, Texte imprimé, 9783642089787
• Oppositional Concepts in Computational Intelligence, Texte imprimé, 9783540708261
• Oppositional Concepts in Computational Intelligence, Texte imprimé, 9783540867036
• Oppositional Concepts in Computational Intelligence, Texte imprimé, 9783642089787
• Oppositional Concepts in Computational Intelligence, Texte imprimé, 9783540708261
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245 1 0 |a Oppositional concepts in computational intelligence   |c edited by Janusz Kacprzyk, Hamid R. Tizhoosh, Mario Ventresca. 
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505 1 |a I: Motivations and Theory Opposition-Based Computing Antithetic and Negatively Associated Random Variables and Function Maximization Opposition and Circularity II: Search and Reasoning Collaborative vs. Conflicting Learning, Evolution and Argumentation Proof-Number Search and Its Variants III: Optimization Improving the Exploration Ability of Ant-Based Algorithms Differential Evolution Via Exploiting Opposite Populations Evolving Opposition-Based Pareto Solutions: Multiobjective Optimization Using Competitive Coevolution IV: Learning Bayesian Ying-Yang Harmony Learning for Local Factor Analysis: A Comparative Investigation The Concept of Opposition and Its Use in Q-Learning and Q(?) Techniques Two Frameworks for Improving Gradient-Based Learning Algorithms V: Real World Applications Opposite Actions in Reinforced Image Segmentation Opposition Mining in Reservoir Management. 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a 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". 
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700 1 |a Tizhoosh, Hamid R.,  |d 19..-  |4 pbd 
700 1 |a Ventresca, Mario,  |d 19..-  |4 pbd 
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