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Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving: 2938 (Lecture Notes in Computer Science) - Softcover
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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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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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Agent-based hybrid intelligent systems. an agent-based framework for complex problem solving.
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23 cm. original paperback. 196 pp. references. index. "Lecture Notes in Artificial Intelligence". -(libr labels, library stamp, otherwise (very) good). 335g. Bestandsnummer des Verkäufers 71828
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Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving (Lecture Notes in Computer Science, 2938, Band
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Softcover. Zustand: 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. Bestandsnummer des Verkäufers G-724-329
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Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving (Lecture Notes in Computer Science, 2938)
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Agent-Based Hybrid Intelligent Systems
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Zustand: 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. Bestandsnummer des Verkäufers 4884904
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Agent-Based Hybrid Intelligent Systems : An Agent-Based Framework for Complex Problem Solving
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783540209089
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Agent-Based Hybrid Intelligent Systems
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Springer Berlin Heidelberg Jan 2004, 2004
ISBN 10: 3540209085
ISBN 13: 9783540209089
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783540209089
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Agent-Based Hybrid Intelligent Systems
ISBN 10: 3540209085
ISBN 13: 9783540209089
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Taschenbuch. Zustand: 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 216 pp. Englisch. Bestandsnummer des Verkäufers 9783540209089
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Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving (Lecture Notes in Computer Science)
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