Metasynthetic computing for solving open complex problems

Cao, L

Metasynthetic computing for solving open complex problems

Cao, L

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Publication Type:: Conference Proceeding
Citation:: Proceedings - International Computer Software and Applications Conference, 2008, pp. 896 - 901
Issue Date:: 2008-09-23

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Field	Value	Language
dc.contributor.author	Cao, L https://orcid.org/0000-0003-1562-9429	en_US
dc.date.issued	2008-09-23	en_US
dc.identifier.citation	Proceedings - International Computer Software and Applications Conference, 2008, pp. 896 - 901	en_US
dc.identifier.isbn	9780769532622	en_US
dc.identifier.issn	0730-3157	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10795
dc.description.abstract	Complex systems, in particular, open complex giant systems have become one of major challenges to many current disciplines such as system sciences, cognitive sciences, intelligence sciences, computer sciences, and information sciences. An appropriate methodology for dealing with them is the theory of qualitative-to-quantitative metasynthesis. From the perspective of engineering, we propose the concept of metasynthetic computing. This paper discusses the theoretical frame-work, problem-solving process and intelligence emergence of metasynthetic computing from both engineering and cognition perspectives. These efforts can help one understand complex systems and design effective problem-solving systems. © 2008 IEEE.	en_US
dc.relation.ispartof	Proceedings - International Computer Software and Applications Conference	en_US
dc.relation.isbasedon	10.1109/COMPSAC.2008.16	en_US
dc.title	Metasynthetic computing for solving open complex problems	en_US
dc.type	Conference Proceeding
utslib.for	0803 Computer Software	en_US
dc.location.activity	Turku, Finland	en_US
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
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

Complex systems, in particular, open complex giant systems have become one of major challenges to many current disciplines such as system sciences, cognitive sciences, intelligence sciences, computer sciences, and information sciences. An appropriate methodology for dealing with them is the theory of qualitative-to-quantitative metasynthesis. From the perspective of engineering, we propose the concept of metasynthetic computing. This paper discusses the theoretical frame-work, problem-solving process and intelligence emergence of metasynthetic computing from both engineering and cognition perspectives. These efforts can help one understand complex systems and design effective problem-solving systems. © 2008 IEEE.

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http://hdl.handle.net/10453/10795