Bounded rationality in agent‐based models: experiments with evolutionary programs

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

@Article{Manson:2006:IJGIS,
  author =       "S. M. Manson",
  title =        "Bounded rationality in agent‐based models:
                 experiments with evolutionary programs",
  journal =      "International Journal of Geographical Information
                 Science",
  year =         "2006",
  volume =       "20",
  number =       "9",
  pages =        "991--1012",
  month =        oct,
  keywords =     "genetic algorithms, genetic programming, agent-based
                 model, bounded rationality, evolutionary programs, land
                 change",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:10.1.1.465.8323",
  rights =       "Metadata may be used without restrictions as long as
                 the oai identifier remains attached to it.",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.465.8323",
  broken =       "http://leg.ufpr.br/~pedro/papers/ijgis/manson_bounded_rationality_06.pdf",
  URL =          "http://earth.clarku.edu/lcluc/pubs/Modeling/II-15_Manson_2006_.pdf",
  URL =          "http://dx.doi.org/10.1080/13658810600830566",
  DOI =          "doi:10.1080/13658810600830566",
  size =         "22 pages",
  abstract =     "This paper examines the use of evolutionary
                 programming in agent‐based modelling to implement the
                 theory of bounded rationality. Evolutionary
                 programming, which draws on Darwinian analogues of
                 computing to create software programs, is a readily
                 accepted means for solving complex computational
                 problems. Evolutionary programming is also increasingly
                 used to develop problem‐solving strategies in
                 accordance with bounded rationality, which addresses
                 features of human decision‐making such as cognitive
                 limits, learning, and innovation. There remain many
                 unanswered methodological and conceptual questions
                 about the linkages between bounded rationality and
                 evolutionary programming. This paper reports on how
                 changing parameters in one variant of evolutionary
                 programming, genetic programming, affects the
                 representation of bounded rationality in software
                 agents. Of particular interest are: the ability of
                 agents to solve problems; limits to the complexity of
                 agent strategies; the computational resources with
                 which agents create, maintain, or expand strategies;
                 and the extent to which agents balance exploration of
                 new strategies and exploitation of old strategies.",
}

Genetic Programming entries for Steven M Manson

Citations