魅力 发表于 2025-3-28 18:17:19

http://reply.papertrans.cn/32/3181/318018/318018_41.png

尖酸一点 发表于 2025-3-28 21:04:29

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

arcane 发表于 2025-3-29 01:06:06

http://reply.papertrans.cn/32/3181/318018/318018_43.png

歌剧等 发表于 2025-3-29 06:43:55

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-

手势 发表于 2025-3-29 09:45:30

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.

FID 发表于 2025-3-29 14:20:15

http://reply.papertrans.cn/32/3181/318018/318018_46.png

outer-ear 发表于 2025-3-29 16:25:11

http://reply.papertrans.cn/32/3181/318018/318018_47.png

土坯 发表于 2025-3-29 21:29:59

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.

豪华 发表于 2025-3-30 02:49:21

http://reply.papertrans.cn/32/3181/318018/318018_49.png

秘方药 发表于 2025-3-30 07:49:59

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.
页: 1 2 3 4 [5] 6
查看完整版本: Titlebook: Evolutionary Robotics; First European Works Philip Husbands,Jean-Arcady Meyer Conference proceedings 1998 Springer-Verlag Berlin Heidelberg