The Importance of Representing Cognitive Processes in Multi-agent Models

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Bruce Edmonds and Scott Moss",
  title =        "The Importance of Representing Cognitive Processes in
                 Multi-agent Models",
  booktitle =    "Artificial Neural Networks - ICANN 2001 :
                 International Conference, Proceedings",
  year =         "2001",
  editor =       "G. Dorffner and H. Bischof and K. Hornik",
  volume =       "2130",
  series =       "Lecture Notes in Computer Science",
  pages =        "759--766",
  address =      "Vienna, Austria",
  month =        aug # " 21-25",
  keywords =     "genetic algorithms, genetic programming, modelling,
                 methodology, agent, economics, neural net,
                 representation, prediction, explanation, cognition,
                 stock market, negotiation",
  CODEN =        "LNCSD9",
  ISSN =         "0302-9743",
  bibdate =      "Sat Feb 2 13:05:31 MST 2002",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1007/3-540-44668-0_106",
  acknowledgement = ack-nhfb,
  abstract =     "We distinguish between two main types of model:
                 predictive and explanatory. It is argued (in the
                 absence of models that predict on unseen data) that in
                 order for a model to increase our understanding of the
                 target system the model must credibly represent the
                 structure of that system, including the relevant
                 aspects of agent cognition. Merely plugging in an
                 existing algorithm for the agent cognition will not
                 help in such understanding. In order to demonstrate
                 that the cognitive model matters, we compare two
                 multi-agent stock market models that differ only in the
                 type of algorithm used by the agents to learn. We also
                 present a positive example where a neural net is used
                 to model an aspect of agent behaviour in a more
                 descriptive manner.",

Genetic Programming entries for Bruce Edmonds Scott Moss