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Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving: 2938 (Lecture Notes in Computer Science) - Tapa blanda
Sinopsis
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 (Lecture Notes in Computer Science, 2938)
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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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ISBN 10: 3540209085
ISBN 13: 9783540209089
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Kartoniert / Broschiert. Condición: 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. Nº de ref. del artículo: 4884904
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Agent-Based Hybrid Intelligent Systems : An Agent-Based Framework for Complex Problem Solving
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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. Condición: 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. Nº de ref. del artículo: 9783540209089
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Agent-Based Hybrid Intelligent Systems : An Agent-Based Framework for Complex Problem Solving
Publicado por
Springer Berlin Heidelberg, 2004
ISBN 10: 3540209085
ISBN 13: 9783540209089
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783540209089
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Agent-Based Hybrid Intelligent Systems : An Agent-Based Fromework for Complex Problem Solving
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Agent-Based Hybrid Intelligent Systems
Publicado por
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2004, 2004
ISBN 10: 3540209085
ISBN 13: 9783540209089
Nuevo
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. 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. Nº de ref. del artículo: 9783540209089
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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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