Agent-based hybrid intelligent systems : an agent-based fromework for complex problem solving /

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Bibliographic Details
Author / Creator:	Zhang, Zili (Senior lecturer)
Imprint:	Berlin ; New York : Springer, ©2004.
Description:	1 online resource (xiv, 196 pages) : illustrations.
Language:	English
Series:	Lecture notes in computer science, 0302-9743 ; 2938. Lecture notes in artificial intelligence Lecture notes in computer science ; 2938. Lecture notes in computer science. Lecture notes in artificial intelligence.
Subject:	Intelligent agents (Computer software) Expert systems (Computer science) Soft computing. Hybrid computers. Expert systems (Computer science) Hybrid computers. Intelligent agents (Computer software) Soft computing.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11065242

Hidden Bibliographic Details
Other authors / contributors:	Zhang, Chengqi, 1957-
ISBN:	3540246231 9783540246237 1280306785 9781280306785 3540209085 9783540209089
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references (pages 183-191) and index. English.
Summary:	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.
Other form:	Print version: Zhang, Zili, Ph. D. Agent-based hybrid intelligent systems. Berlin ; New York : Springer, ©2004 3540209085
Standard no.:	10.1007/b95170

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