Agent-based hybrid intelligent systems

Zhang, Z; Zhang, C

Agent-based hybrid intelligent systems

Zhang, Z Zhang, C

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Publication Type:: Book
Citation:: 2004, 2938
Issue Date:: 2004-12-01

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Field	Value	Language
dc.contributor.author	Zhang, Z	en_US
dc.contributor.author	Zhang, C https://orcid.org/0000-0001-5715-7154	en_US
dc.date.issued	2004-12-01	en_US
dc.identifier.citation	2004, 2938	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12332
dc.description.abstract	The fundamentals of hybrid intelligent systems that are essential for solving complex real-world problems are discussed. A variety of intelligent techniques can be easily integrated into one system under the proposed agent framework. The success of these systems indicates that agent technologies can significantly facilitate the building of hybrid intelligent systems. The unifying agent framework is helpful in solving many complex problems, such as financial investment planning, within a shorter time frame and also result in higher quality solutions.	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Agent-based hybrid intelligent systems	en_US
dc.type	Book
utslib.citation.volume	2938	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/Strength - ACRI - Australia China Relations Institute
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2938	en_US

Abstract:

The fundamentals of hybrid intelligent systems that are essential for solving complex real-world problems are discussed. A variety of intelligent techniques can be easily integrated into one system under the proposed agent framework. The success of these systems indicates that agent technologies can significantly facilitate the building of hybrid intelligent systems. The unifying agent framework is helpful in solving many complex problems, such as financial investment planning, within a shorter time frame and also result in higher quality solutions.

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http://hdl.handle.net/10453/12332