Agents learned, but do we? Knowledge discovery using the agent-based double auction markets

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Chen:2011:frontierEE,

• author = "Shu-Heng Chen and Tina Yu",
• title = "Agents learned, but do we? Knowledge discovery using the agent-based double auction markets",
• journal = "Frontiers of Electrical and Electronic Engineering in China",
• year = "2011",
• volume = "6",
• number = "1",
• pages = "159--170",
• month = mar,
• keywords = "genetic algorithms, genetic programming, agent-based double auction markets, autonomous agents, bargaining strategies, monopsony, procrastination strategy",
• ISSN = "1673-3584",
• URL = "http://www.cs.mun.ca/~tinayu/Publications_files/frontierEE.pdf",
• URL = "http://dx.doi.org/10.1007/s11460-011-0132-4",
• DOI = "doi:10.1007/s11460-011-0132-4",
• size = "12 pages",
• 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.",
• notes = "Department of Economics, Chengchi University, Taipei",

}

Genetic Programming entries for Shu-Heng Chen Tina Yu

Citations