Evolution and Development of Modular Control Architectures for 1D Locomotion in Six-legged Animats
作者:
Jerome Kodjabachian,
Jean-Arcady Meyer,
期刊:
Connection Science
(Taylor Available online 1998)
卷期:
Volume 10,
issue 3-4
页码: 211-237
ISSN:0954-0091
年代: 1998
DOI:10.1080/095400998116413
出版商: Taylor & Francis Group
关键词: Evolution;Development;Dynamical Neural Networks;Sgoce;Hexapod Locomotion
数据来源: Taylor
摘要:
An evolutionary approach is used to design neural control architectures for virtual sixlegged animats. Using a geometry-oriented variation of the cellular encoding scheme and syntactic constraints that reduce the size of the genetic search space, the developmental programs of straight locomotion controllers are first evolved. One such controller is then included as the first module in a larger architecture, in which a second neural module is evolved and develops connections to the first one, so as to set locomotion on or offaccording to sustained or instantaneous external control signals. Such an incremental approach should prove useful to the automatic design of relatively complex control architectures that might, in particular, implement some cognitive abilities over and above mere stimulus-response mechanisms.
点击下载:
PDF (451KB)
返 回