政大學術集成


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


Title: Agents Learned, but Do We? Knowledge Discovery Using the Agent-Based Double Auction Markets
Authors: CHEN,Shu-Heng;Tina Yu
陳樹衡
Contributors: 政治大學經濟系
Keywords: agent-based double auction markets;autonomous agents;genetic programming;bargaining strategies;monopsony;procrastination strategy
Date: 2011
Issue Date: 2011-07-28 10:36:17 (UTC+8)
Abstract: This paper demonstrates the potential role
of autonomous agents in economic theory. We first dispatch
autonomous agents, built by genetic programming,
to double auction markets.We then study the bargaining
strategies, discovered by them, and from there,
an autonomous-agent-inspired economic theory with regard
to the optimal procrastination is derived.
Relation: Frontiers of Electrical and Electronic Engineering, 6(1), 159-170
Data Type: article
DOI link: http://dx.doi.org/10.1007/s11460-011-0132-4
Appears in Collections:[Department of Economics] Periodical Articles

Files in This Item:

File Description SizeFormat
159170.pdf697KbAdobe PDF619View/Open


All items in 學術集成 are protected by copyright, with all rights reserved.


社群 sharing