Artificial Intelligence Soft Computing by Konar Amit (14 results)

- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
Seller: moluna, Greven, Germanymoluna
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Gebunden. Condition: New. Amit Konar (Jadavpur University, Calcutta, India)With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature. Until now, the.

- Hardcover
Seller: Biblios, frankfurt am main, GermanyBiblios
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Condition: New. pp. 816.

- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Neuware - Artificial Intelligence and Soft Computing presents both the traditional and the modern aspects of AI and soft computing in a clear, insightful, and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms and demonstrates their applications in real world…problems. Beginning with the behavioral perspective of 'human cognition,' the text covers the tools and techniques required for its intelligent realization on machines. The author addresses the classical aspects search, symbolic logic, planning, and machine learning in detail and includes the latest research in these areas. He introduces the modern aspects of soft computing from first principles and discusses them in a manner that enables a beginner to grasp the subject. He also covers a number of other leading aspects of AI research, including nonmonotonic and spatio-temporal reasoning, knowledge acquisition, and much more. This book is unique for its diverse content, clear presentation, and overall completeness. It provides a practical, detailed introduction that will prove valuable to computer science practitioners and students as well as to researchers migrating to the subject from other disciplines. TOC:Introduction to AI and Soft Computing.- The Psychological Perspective of Cognition.- Production Systems.- Search and Problem Solving.- The Logic of Propositions and Predicates.- Elements of Logic Programming.- Default and Non-Monotonic Logics.- Structured Approach to Knowledge Representation and Reasoning.- Dealing with Imprecision and Uncertainty.- Structured Approach to Fuzzy Reasoning.- Reasoning with Space and Time.- Intelligent Planning.- Machine Learning.- Machine Learning Using Neural Nets.- Genetic Algorithms.- Realising Cognition with Fuzzy Neural Nets.- Visual Perception.- Linguistic Perception.- Problem Solving By Constraint Satisfaction.- Acquisition of Knowledge.- Verification, Validation and Maintenance Issues.- Parallel and Distributed Architecture for Intelligent Systems.- Case Study I : Building a System for Criminal Investigation.- Case Study II : Building a System for Navigational Planning of Robots.- Appendix: How to use the diskette Subject index.- Author index.

- Hardcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. pp. 816 This item is printed on demand.