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

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@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.",
}

Genetic Programming entries for Shu-Heng Chen Tina Yu

Citations