Evolving Agents

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "A. Qureshi",
  title =        "Evolving Agents",
  institution =  "UCL",
  year =         "1996",
  type =         "Research Note",
  number =       "RN/96/4",
  address =      "Gower Street, London, WC1E 6BT, UK",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, Agent Based
                 Computing, Distributed AI, Automatic Code Generation,
                 Automatic Programming, Machine Learning, Artificial
                 Evolution, Communication, Automatically Defined
                 Functions (ADF)",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/AQ.gp96.ps.gz",
  abstract =     "The paradigm of agent based computing is becoming
                 increasingly popular both in distributed artificial
                 intelligence and as a general software engineering
                 technique. The difficulty with agent based computing is
                 that success depends not on the correctness of any one
                 agent, but on the emergent behaviour arising from the
                 interaction of a society of agents. As a consequence,
                 the problem of programming agents is non trivial and
                 poorly understood.

                 In this paper we show that genetic programming can be
                 used to automatically program agents which communicate
                 and interact to solve problems. The programs evolved
                 simulataneously define when and what to communicate,
                 and how to use the communicated information to solve
                 the given problem.",
  notes =        "Submitted to GP96",
  size =         "10 pages",

Genetic Programming entries for Adil Qureshi