Modelling of Boundedly Rational Agents using Evolutionary Programming Techniques

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Bruce Edmonds and Scott Moss",
  title =        "Modelling of Boundedly Rational Agents using
                 Evolutionary Programming Techniques",
  booktitle =    "Evolutionary Computing",
  publisher =    "Springer-Verlag",
  year =         "1997",
  editor =       "David Corne and Jonathan L. Shapiro",
  volume =       "1305",
  series =       "LNCS",
  pages =        "31--42",
  address =      "University of Manchester, UK",
  month =        "7-8 " # apr,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-63476-2",
  URL =          "",
  DOI =          "doi:10.1007/BFb0027164",
  abstract =     "A technique for the credible modelling of economic
                 agents with bounded rationality based on the
                 evolutionary techniques is described. The genetic
                 programming paradigm is most suited due to its
                 meaningful and flexible genome. The fact we are aiming
                 to model agents with real characteristics implies a
                 different approach from those evolutionary algorithms
                 designed to efficiently solve specific problems. Some
                 of these are that we use very small populations, it is
                 based on different operators and uses a breeding
                 selection mechanism. It is precisely some of the
                 {"}pathological{"} features of this algorithm that
                 capture the target behaviour. Some possibilities for
                 integration of deductive logic-based approaches and the
                 GP paradigm are suggested. An example application of an
                 agent seeking to maximise its utility by modelling its
                 own utility function is briefly described.",
  notes =        "Papers in AISB-97 Evolutionary computation workshop
                 proceedings may be revised before final publication.

                 Former soviet union. Strictly declarative modelling
                 language SDML. 3 sets of runs, agents have memory of
                 different sizes, space for 10, 20 or 30 models.
  size =         "12 pages",

Genetic Programming entries for Bruce Edmonds Scott Moss