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Springer - Oppositional Concepts in Computational Intelligence

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Description

Explore a new frontier in computer science with Oppositional Concepts in Computational Intelligence. While opposition is a fundamental part of the natural world, it has historically been limited to discussions in philosophy and logic due to a lack of mathematical formalism. This Springer publication changes that by providing the first exploration of opposition-based computing and concepts. This book addresses a gap in current research by introducing the necessary mathematical frameworks to study opposition explicitly. It moves beyond abstract theory to provide a foundation for applying these concepts to computational intelligence. Whether you are a researcher in AI, a student of machine learning, or a professional in computer science, this volume offers a unique perspective on how opposing forces can be utilized within mathematical and computational models. By bridging the gap between philosophical thought and formal mathematics, this work opens new possibilities for studying how opposites function within complex systems.

Key Features

Provides the first ever exploration and elucidation of opposition-based computing and concepts.

Introduces necessary mathematical formalism to study opposition outside of philosophy and logic.

Bridges the gap between natural observations of opposition and formal computational science.

Offers a deep dive into how opposition permeates nature and can be applied to intelligence systems.

Published by Springer, a leading name in academic and scientific literature.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
28 October 2010
Listed Since
20 September 2010

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