Agents Learned, but Do We? Knowledge Discovery Using the Agent-Based Double Auction Markets

Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/50617

DC Field	Value	Language
dc.contributor	政治大學經濟系	en_US
dc.creator	CHEN,Shu-Heng ;Tina Yu	en_US
dc.creator	陳樹衡	-
dc.date	2011	en_US
dc.date.accessioned	2011-07-28T02:36:17Z	-
dc.date.available	2011-07-28T02:36:17Z	-
dc.date.issued	2011-07-28T02:36:17Z	-
dc.identifier.uri	http://nccur.lib.nccu.edu.tw/handle/140.119/50617	-
dc.description.abstract	This paper demonstrates the potential role\r\nof autonomous agents in economic theory. We first dispatch\r\nautonomous agents, built by genetic programming,\r\nto double auction markets.We then study the bargaining\r\nstrategies, discovered by them, and from there,\r\nan autonomous-agent-inspired economic theory with regard\r\nto the optimal procrastination is derived.	-
dc.language.iso	en_US	-
dc.relation	Frontiers of Electrical and Electronic Engineering, 6(1), 159-170	en_US
dc.subject	agent-based double auction markets; autonomous agents; genetic programming; bargaining strategies; monopsony; procrastination strategy	-
dc.title	Agents Learned, but Do We? Knowledge Discovery Using the Agent-Based Double Auction Markets	en_US
dc.type	article	en
dc.identifier.doi	10.1007/s11460-011-0132-4	en_US
dc.doi.uri	http://dx.doi.org/10.1007/s11460-011-0132-4	en_US
item.languageiso639-1	en_US	-
item.cerifentitytype	Publications	-
item.fulltext	With Fulltext	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.grantfulltext	restricted	-
item.openairetype	article	-
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