Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/50617
題名: Agents Learned, but Do We? Knowledge Discovery Using the Agent-Based Double Auction Markets
作者: CHEN,Shu-Heng ;Tina Yu
陳樹衡
貢獻者: 政治大學經濟系
關鍵詞: agent-based double auction markets; autonomous agents; genetic programming; bargaining strategies; monopsony; procrastination strategy
日期: 2011
上傳時間: 28-七月-2011
摘要: 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.
關聯: Frontiers of Electrical and Electronic Engineering, 6(1), 159-170
資料類型: article
DOI: http://dx.doi.org/10.1007/s11460-011-0132-4
Appears in Collections:期刊論文

Files in This Item:
File Description SizeFormat
159170.pdf697.84 kBAdobe PDF2View/Open
Show full item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.