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CEC
2008
IEEE
15 years 11 months ago
Learning what to ignore: Memetic climbing in topology and weight space
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...
Julian Togelius, Faustino J. Gomez, Jürgen Sc...
ECAL
2007
Springer
15 years 10 months ago
Evolution of Acoustic Communication Between Two Cooperating Robots
In this paper we describe a model in which artificial evolution is employed to design neural mechanisms that control the motion of two autonomous robots required to communicate th...
Elio Tuci, Christos Ampatzis
ECAL
2007
Springer
15 years 10 months ago
The Dynamics of Associative Learning in an Evolved Situated Agent
Abstract. Artificial agents controlled by dynamic recurrent node networks with fixed weights are evolved to search for food and associate it with one of two different temperatur...
Eduardo Izquierdo, Inman Harvey
ECAL
2007
Springer
15 years 10 months ago
Simulations of Simulations in Evolutionary Robotics
Abstract. In recent years simulation tools for agent-environment interactions have included increasingly complex and physically realistic conditions. These simulations pose challen...
Edgar Bermudez Contreras, Anil K. Seth
SARA
2007
Springer
15 years 10 months ago
A Meta-CSP Model for Optimal Planning
One approach to optimal planning is to first start with a sub- optimal solution as a seed plan, and then iteratively search for shorter plans. This approach inevitably leads to an...
Peter Gregory, Derek Long, Maria Fox