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Titlebook: Evolutionary Robotics; First European Works Philip Husbands,Jean-Arcady Meyer Conference proceedings 1998 Springer-Verlag Berlin Heidelberg

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Evolving and breeding robots,nterpretation of observed phenomena. Initially, we investigated simulation-reality relationships in order to transfer our artificial life simulation work with evolution of neural network agents to real robots. This is a difficult task, but can, in a lot of cases, be solved with a carefully built sim
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Incremental evolution of neural controllers for robust obstacle-avoidance in Khepera,s proved to be more efficient than a competing direct approach. During a first evolutionary stage, obstacle-avoidance controllers in medium-light conditions have been generated. During a second evolutionary stage, controllers avoiding strongly-lighted regions, where the previously acquired obstacle-
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Second Language Learning and Teachingin the context of evolutionary robotics. In particular, we will try to understand in what conditions co-evolution can lead to “arms races” in which two populations reciprocally drive one another to increasing levels of complexity.
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How co-evolution can enhance the adaptive power of artificial evolution: Implications for evolutionin the context of evolutionary robotics. In particular, we will try to understand in what conditions co-evolution can lead to “arms races” in which two populations reciprocally drive one another to increasing levels of complexity.
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Learning behaviors for environmental modeling by genetic algorithm, propose the evolutionary design method of such behaviors using genetic algorithm and make experiments in which a robot recognizes the environments with different structures. As results, we found out that the evolutionary approach is promising to automatically acquire behaviors for AEM.
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