19 search results - page 1 / 4 » Evolving symmetric and modular neural networks for distribut... |
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
Problems such as the design of distributed controllers are characterized by modularity and symmetry. However, the symmetries useful for solving them are often difficult to determ...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper investigates whether replacing non-modular artificial neural network brains of visual agents with modular brains improves their ability to solve difficult tasks, specif...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
Legged robots are useful in tasks such as search and rescue because they can effectively navigate on rugged terrain. However, it is difficult to design controllers for them that ...
ANNS
2010
12 years 12 months ago
2010
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
ICANN
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. In practice, almost all control systems in use today implement some form of linear control. However, there are many tasks for which conventional control engineering metho...