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ICTAI
2008
IEEE
16 years 25 days ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
16 years 17 days ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
16 years 17 days ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
EVOW
2001
Springer
15 years 11 months ago
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
Abstract. We describe a set of preliminary experiments to evolve spiking neural controllers for a vision-based mobile robot. All the evolutionary experiments are carried out on phy...
Dario Floreano, Claudio Mattiussi
VRML
1995
ACM
15 years 10 months ago
Internetwork Infrastructure Requirements for Virtual Environments
Virtual environments (VEs) are a broad multidisciplinary research area that includes all aspects of computer science, virtual reality, virtual worlds, teleoperation and telepresenc...
Donald P. Brutzman, Michael R. Macedonia, Michael ...