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» Evolved Neurodynamics for Robot Control
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PPSN
2004
Springer
14 years 4 months ago
Group Transport of an Object to a Target That Only Some Group Members May Sense
This paper addresses the cooperative transport of a heavy object, called prey, towards a sporadically changing target location by a group of robots. The study is focused on the sit...
Roderich Groß, Marco Dorigo
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 5 months ago
A simulation of evolved autotrophic reproduction
In this experiment we evolve reproductive behaviors for a simulated vehicle. Future work will employ the resulting behaviors to populate a simulated ecosystem. Categories and Subj...
Correy Allen Kowall, Brian J. Krent
IJCNN
2008
IEEE
14 years 5 months ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
14 years 5 months ago
Evolving symmetric and modular neural networks for distributed control
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...
Vinod K. Valsalam, Risto Miikkulainen
ICANN
2005
Springer
14 years 4 months ago
Evolving Modular Fast-Weight Networks for Control
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...
Faustino J. Gomez, Jürgen Schmidhuber