Competitive Co-Evolutionary Robotics: From Theory to Practice

It is argued that competitive co-evolution is a viable methodology for developing truly autonomous and intelligent machines capable of setting their own goals in order to face new and continuously changing challenges. The paper starts giving an introduction to the dynamics of competitive co-evolutionary systems and reviews their relevance from a computational perspective. The method is then applied to two mobile robots, a predator and a prey, which quickly and autonomously develop efficient chase and evasion strategies. The results are then explained and put in a long-term framework resorting to a visualization of the Red Queen effect on the fitness landscape. Finally, comparative data on different selection criteria are used to indicate that co-evolution does not optimize "intuitive" objective criteria.


Editor(s):
Pfeifer, R.
Published in:
Proceedings of the fifth international conference on simulation of adaptive behavior, From Animals to Animats 5, 4, 515-524
Presented at:
5th International Conference on Simulation of Adaptive Behavior (SAB'1998), Zurich, Switzerland, August 17-21
Year:
1998
Publisher:
Cambridge, MA, USA, MIT Press
ISBN:
0-262-66144-6
Keywords:
Note:
R. Pfeifer (eds)
Laboratories:




 Record created 2006-01-12, last modified 2018-03-17

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