A Practical framework for agent-based hybrid intelligent systems

Li, C; Liu, L; Song, Q

A Practical framework for agent-based hybrid intelligent systems

Li, C Liu, L Song, Q

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Publisher:: Grace Publications Network
Publication Type:: Journal Article
Citation:: Asian Journal of Information Technology, 2004, 3 (2), pp. 107 - 114
Issue Date:: 2004-01

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Field	Value	Language
dc.contributor.author	Li, C	en_US
dc.contributor.author	Liu, L	en_US
dc.contributor.author	Song, Q	en_US
dc.date.issued	2004-01	en_US
dc.identifier.citation	Asian Journal of Information Technology, 2004, 3 (2), pp. 107 - 114	en_US
dc.identifier.issn	1682-3915	en_US
dc.identifier.uri	http://hdl.handle.net/10453/6141
dc.description.abstract	The design and development of hybrid intelligent systems (HIS) are difficult because there are many interactions between various components. Existing software development techniques cannot manage those complex interactions efficiently as those interactions may occur at unpredictable times, for unpredictable reasons, between unpredictable components. In this study, we contribute a multi-agent framework and a ring· based architectural model to organize those components and interactions. The framework consists of user interface, decision making, knowledge discovering, information management facilitators, and distributed heterogeneous data resources IDHDR). We employ middle agent concept to match task requesters with specific intelligent agents. A ring-based architectural model to organize the middle agents in HIS is developed. We demonstrate the potentials of the framework by case study and present theoretical and empirical evidence that our framework is available and robust.	en_US
dc.publisher	Grace Publications Network	en_US
dc.relation.ispartof	Asian Journal of Information Technology	en_US
dc.title	A Practical framework for agent-based hybrid intelligent systems	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	3	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	1702 Cognitive Sciences	en_US
dc.location.activity	London, ENGLAND
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.issue	2	en_US
pubs.volume	3	en_US

Abstract:

The design and development of hybrid intelligent systems (HIS) are difficult because there are many interactions between various components. Existing software development techniques cannot manage those complex interactions efficiently as those interactions may occur at unpredictable times, for unpredictable reasons, between unpredictable components. In this study, we contribute a multi-agent framework and a ring· based architectural model to organize those components and interactions. The framework consists of user interface, decision making, knowledge discovering, information management facilitators, and distributed heterogeneous data resources IDHDR). We employ middle agent concept to match task requesters with specific intelligent agents. A ring-based architectural model to organize the middle agents in HIS is developed. We demonstrate the potentials of the framework by case study and present theoretical and empirical evidence that our framework is available and robust.

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http://hdl.handle.net/10453/6141