The Evolution of Agents

Created by W.Langdon from gp-bibliography.bib Revision:1.4394

  author =       "Mohammad Adil Qureshi",
  title =        "The Evolution of Agents",
  school =       "University College, London",
  year =         "2001",
  address =      "UK",
  month =        jul,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  size =         "139 pages",
  abstract =     "Genetic Programming (GP) is a technique that can be
                 used to automatically program computers to perform some
                 required task. The technique is a kind of genetic
                 algorithm in which the representation is a program tree
                 instead of a bit-string and the fitness of each tree is
                 evaluated by executing the computer program that it
                 represents. The subject of this thesis is to
                 investigate the use of GP to automatically program
                 multiagent systems. To achieve this goal, we consider
                 the general problems in creating multiagent systems,
                 and show how GP can be used to provide solutions to
                 many of them. Our key contributions are as follows:

                 We show that it is possible to evolve multiagent
                 systems using GP that:

                 exhibit coordinated, coherent behaviour

                 communicate explicitly, and in doing so decide what to
                 communicate and how

                 can resolve conflicts

                 can be integrated into an existing society of agents

                 We also consider the technical scalability issues
                 involved in the use of GP, both generally and in
                 particular as a technique for automatically programming
                 agents and propose some solutions to these problems.",

Genetic Programming entries for Adil Qureshi