Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/23257
DC FieldValueLanguage
dc.creator陳樹衡;B.-T. Chiezh_TW
dc.creatorChen,Shu-Heng ; Chie, Bin-Tzong-
dc.date2004en_US
dc.date.accessioned2009-01-09T04:15:34Z-
dc.date.available2009-01-09T04:15:34Z-
dc.date.issued2009-01-09T04:15:34Z-
dc.identifier.urihttps://nccur.lib.nccu.edu.tw/handle/140.119/23257-
dc.description.abstractNo matter how commonly the term innovation has been used in economics, a concrete analytical or computational model of innovation is not yet available. This paper argues that a breakthrough can be made with genetic programming, and proposes a functional-modularity approach to an agent-based computational economic model of innovation.-
dc.formatapplication/en_US
dc.languageenen_US
dc.languageen-USen_US
dc.language.isoen_US-
dc.relationInternational Journal of Modern Physics B,Vol. 18 Issue 17-19, p2376-2386.en_US
dc.titleFUNCTIONAL MODULARITY IN THE FUNDAMENTALS OF ECONOMIC THEORY:: TOWARD AN AGENT-BASED ECONOMIC MODELING OF THE EVOLUTION OF TECHNOLOGY.en_US
dc.typearticleen
dc.identifier.doi10.1142/S0217979204025403-
dc.doi.urihttp://dx.doi.org/10.1142/S0217979204025403-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1en_US-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
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