Evolutionary Learning of Communicating Agents

  title={Evolutionary Learning of Communicating Agents},
  author={Hitoshi Iba},
  journal={Inf. Sci.},
This paper presents the emergence of the cooperative behavior for communicating agents by means of Genetic Programming (GP). Our experimental domains are the pursuit game and the robot navigation task. We conduct experiments with the evolution of the communicating agents and show the effectiveness of the emergent communication in terms of the robustness of generated GP programs. The performance of GP-based multi-agent learning is discussed with comparative experiments by using different… CONTINUE READING


Publications citing this paper.


Publications referenced by this paper.
Showing 1-10 of 12 references

Evolving communicating agents based on genetic programming

  • H. Iba, T. Nozoe, K. Ueda
  • Proc. of the IEEE International Conference on…
  • 1997
1 Excerpt

COAST: An approach to robustness and reusability

  • N. Hondo, H. Iba, Y. Kakazu
  • in genetic programming,
  • 1996
1 Excerpt

Multiple-agent learning by genetic programming, in: ICML96

  • H. Iba
  • Workshop on Evolutionary Computation and Machine…
  • 1996
2 Excerpts

Evolving a Team, in: Working Notes of the AAA1-95

  • T. Haynes, R. Wainwright, S. Sen
  • Fall Symposium on Genetic Programming,
  • 1995
1 Excerpt

P611ack, Evolutionary module acquisition

  • J.B.P.J. Angeline
  • in: Proceedings of the Second Annual Conference…
  • 1993
1 Excerpt

Similar Papers

Loading similar papers…