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Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving (Lecture Notes in Computer Science, 2938)
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Softcover. Condition: Bon. Ancien livre de bibliothèque avec équipements. Edition 2008. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2008. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Agent-based hybrid intelligent systems. an agent-based framework for complex problem solving.
Seller: Emile Kerssemakers ILAB, Heerlen, Netherlands
Seller rating 5 out of 5 stars
23 cm. original paperback. 196 pp. references. index. "Lecture Notes in Artificial Intelligence". -(libr labels, library stamp, otherwise (very) good). 335g.
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Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving (Lecture Notes in Computer Science, 2938)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 66.16
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Agent-Based Hybrid Intelligent Systems : An Agent-Based Fromework for Complex Problem Solving
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. pp. 216.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems.This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.
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Taschenbuch. Condition: Neu. Agent-Based Hybrid Intelligent Systems | An Agent-Based Framework for Complex Problem Solving | Zili Zhang (u. a.) | Taschenbuch | xv | Englisch | 2004 | Springer | EAN 9783540209089 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Agent-Based Hybrid Intelligent Systems : An Agent-Based Fromework for Complex Problem Solving
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 131.99
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Paperback. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Agent-Based Hybrid Intelligent Systems
Language: English
Published by Springer Berlin Heidelberg Jan 2004, 2004
ISBN 10: 3540209085 ISBN 13: 9783540209089
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems.This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining. 216 pp. Englisch.
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Condition: New. Print on Demand pp. 216 Illus.
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Agent-Based Hybrid Intelligent Systems
Language: English
Published by Springer Berlin Heidelberg, 2004
ISBN 10: 3540209085 ISBN 13: 9783540209089
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of inte.
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Condition: New. PRINT ON DEMAND pp. 216.
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Agent-Based Hybrid Intelligent Systems
Language: English
Published by Springer, Springer Jan 2004, 2004
ISBN 10: 3540209085 ISBN 13: 9783540209089
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems.This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.
