Co-evolution of cooperation in a Pursuit Evasion Game

IEEE International Conference on Intelligent Robots and Systems

Volumn 2, Issue , 2003, Pages 2037-2042

  Nitschke, Geoff ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ARTIFICIAL INTELLIGENCE; COLLISION AVOIDANCE; CONTROL EQUIPMENT; GENETIC ALGORITHMS; NEURAL NETWORKS; PROXIMITY SENSORS; ROBOT LEARNING;

CO-EVOLUTION PROCESS; COORDINATION MECHANISMS;

MOBILE ROBOTS;

EID: 0346148679     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. [Angeline and Pollack, 1993] Angeline, P. J. and Pollack, J. B. Competitive environments evolve better solutions for complex tasks. In Proceedings of the Fifth International Conference on Genetic Algorithms, pages 264-270. Morgan Kaufmann, San Mateo, USA.
2. [Bullock, 1995] Bullock, S. Co-evolutionary design: Implications for evolutionary robotics. CSRP 384, University of Sussex, United Kingdom.
3. [Bull and Holland, 1997] Bull, L., and Holland, O. Evolutionary Computing in Multi-Agent Environments: Eusociality. In Proceedings of the Second Annual Conference on Genetic Programming, pages 347-352. Morgan Kaufmann, San Mateo, USA.
4. [Cliff and Miller, 1994] Cliff, D., and Miller, G. F. Protean behavior in dynamic games: Arguments for the co-evolution of pursuit-evasion tactics. In, From Animals to Animats III: Proceedings of the Third International Conference on Simulation of Adaptive Behavior, pages 411-420. Bradford Books, Cambridge, USA.
5. [Cliff and Miller, 1995] Cliff, D., and Miller, G. F. Tracking the Red Queen: Measurements of adaptive progress in co-evolutionary simulations. In, Proceedings of the Third European Conference on Artificial Life, pages 200-218. Springer-Verlag, Berlin.
6. [Cliff and Miller, 1996] Cliff, D., and Miller, G. F. Co-evolution of Pursuit and Evasion II: Simulation Methods and Results. In, From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, pages 506-514. MIT Press, Cambridge, USA.
7. [Denzinger and Fuchs, 1996] Denzinger, J., and Fuchs, M. Experiments in Learning Prototypical Situations for Variants of the Pursuit Game. In Proceedings of the Second ICMAS conference, pages 48-55. MIT Press, Cambridge, USA.
8. [Floreano and Nolfi, 1997a] Floreano, D., and Nolfi, S. Adaptive behavior in competing co-evolving species. In, Proceedings of the Fourth European Conference on Artificial Life, pages 378-387. MIT Press, Cambridge, USA.
9. [Floreano and Nolfi, 1997b] Floreano, D., and Nolfi, S. God Save the Red Queen! Competition in Co-evolving Robotics. In, Proceedings of the Second International Conference on Genetic Programming, pages 398-406. Morgan Kaufmann, San Mateo, USA.
10. [Floreano and Mondada, 1998] Floreano, D., and Mondada, F. Hardware solutions for Evolutionary Robotics. In, Proceedings of the First European Workshop on Evolutionary Robotics. Springer-Verlag, Berlin.
11. [Haynes and Sen, 1997] Haynes, T., and Sen, S. Co-adaptation in a Team. International Journal of Computational Intelligence and Organizations. Vol. 1(4): 1-20. Lawrence Erlbaum Associates, New Jersey, USA.
12. [Hillis, 1990] Hillis, W. Co-evolving parasites improve simulated evolution as an optimization procedure. Physica D, vol. 42(1): 228-234. Elsevier Science, Amsterdam, Netherlands.
13. [Iba, 1996] Iba, H. Emergent cooperation for multiple agents using genetic programming. Parallel Problem Solving from Nature. Springer-Verlag, Berlin.
14. [Koza, 1991] Koza, J. R. Evolution and co-evolution of computer programs to control independently acting agents. In, Proceedings of the First International Conference on Simulation of Adaptive Behavior, pages 366-375. MIT Press, Cambridge, USA.
15. [Koza, 1992] Koza, J. R. Genetic Programming: On the programming of computers by means of natural selection. MIT Press, Cambridge, USA.
16. [Miglino et al. 1996] Miglino, O., Lund, H., and Nolfi, S. Evolving Mobile Robots in Simulated and Real Environments. Artificial Life, vol. 2(1): 417-434. MIT Press, Cambridge, USA.
17. [Mondada et al. 1993] Mondada, F., Franzi, E., and Ienne, P. Mobile Robot Miniaturization: A tool for Investigation in Control Algorithms. In Proceedings of Third International Symposium on Experimental Robotics, pages 501-513. Springer-Verlag, Berlin.
18. [Nishimura and Ikegami, 1997] Nishimura, S. I., and Ikegami, T. Emergence of Collective Strategies in a Prey-Predator Game Model. Artificial Life, 3(1): 243-260. MIT Press, Cambridge, USA.
19. [Nitschke and Nolfi, 2002] Nitschke, G., and Nolfi, S. Emergence of Cooperation in a Pursuit-Evasion Scenario. Technical Report CNR02-26. Institute of Cognitive Science and Technologies, C.N.R. Rome, Italy.
20. [Nolfi and Floreano, 1998] Nolfi, S., and Floreano, D. Co-evolving predator and prey robots: Do 'arms races' arise in artificial evolution? Artificial Life, vol. 1(1): 1-10. MIT Press, Cambridge, USA.
21. [Reynolds, 1994] Reynolds, C. W. Competition, Co-evolution and the Game of Tag. In, Proceedings of the Fourth International Workshop on Artificial Life, pages 59-69. MIT Press, Cambridge, USA.
22. [Rosin and Belew, 1997] Rosin, C, and Belew, R. New methods for competitive co-evolution. Evolutionary Computation, vol. 5(1): 1-29. MIT Press, Cambridge, USA
23. [Rumelhart et al. 1986] Rumelhart, D. E., Hinton, G. E., and Williams, R. J. Learning internal representations by error propagation. Parallel Distributed Processing, Volume 1: Foundations. MIT Press, Cambridge, USA
24. [Sims, 1994] Sims, K. Evolving 3D Morphology and Behavior by Competition. In, Proceedings of the Fourth International Workshop on Artificial Evolution, pages 28-39. MIT Press, Cambridge, USA.
25. [Stone and Veloso, 1998] Stone, P., and Veloso, M. Towards collaborative and adversarial learning: A case study in robotic soccer. International Journal of Human-Computer Systems, vol. 48(1): 83-104. Elsevier Science, Amsterdam.
26. [van Valen, 1973] van Valen, L. A new evolutionary law. Evolution Theory, vol. 1(1): 1-30. MIT Press, Cambridge, MA.
27. [Yong and Miikkulainen, 2001] Yong, C. H., and Miikkulainen, R. Cooperative Co-evolution of Multi-Agent Systems. Technical Report A101-287. Department of Computer Science, University of Texas, USA.