Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2938)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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Table of contents (11 chapters)
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Front Matter
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Fundamentals of Hybrid Intelligent Systems and Agents
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Front Matter
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Methodology and Framework
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Front Matter
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Application Systems
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Front Matter
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Concluding Remarks
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Agent-Based Hybrid Intelligent Systems
Book Subtitle: An Agent-Based Framework for Complex Problem Solving
Authors: Zili Zhang, Chengqi Zhang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/b95170
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Softcover ISBN: 978-3-540-20908-9Published: 28 January 2004
eBook ISBN: 978-3-540-24623-7Published: 30 January 2004
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 194
Topics: Artificial Intelligence, Software Engineering, Computation by Abstract Devices, Database Management, Computer Appl. in Administrative Data Processing