Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/75075
DC FieldValueLanguage
dc.contributor經濟系
dc.creatorChen, Shu-heng;Chie, Bin-Tzong
dc.creator陳樹衡zh_TW
dc.date2006
dc.date.accessioned2015-05-11T06:50:50Z-
dc.date.available2015-05-11T06:50:50Z-
dc.date.issued2015-05-11T06:50:50Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/75075-
dc.description.abstractIn this paper, we review the development of artificial adaptive economic agents in evolutionary economics. The review starts from a 1986paper by Robert Lucas, a Nobel Prize laureate in economics. From there, we shall see how the idea of economic adaptive agents was enriched and implemented by Holland`s two books on genetic algorithms (Holland 1975) and on classifier systems (Holland, et al. 1986). We then examine the impact of Holland`s artificial adaptive agents on two different groups of economists. One was led by Thomas Sargent, representing New Classical Economics, and the other by Brian Arthur, standing for Santa Fe Institute Economics. A moot point brought here is that the spirit of the genetic algorithm (GA) (John Holland`s legacy) is lost in mainstream economics, but is reserved in SFI economics. We then shift to Koza`s genetic programming, and show how John Holland`s legacy was further expanded in evolutionary economics.
dc.format.extent152608 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationn K. Aruka (ed.), Evolutionary Controversy in Economics towards a New Method in Preference of Trans Discipline, Springer-Verlag, Tokyo.
dc.subjectArtificial adaptive economic agents; Building blocks; Genetic programming; LISP S-expression; Evolving populations of decision rules
dc.titleOn the Relevance of Genetic Programming to Evolutionary Economics
dc.typeconferenceen
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item.grantfulltextopen-
item.openairetypeconference-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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