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» Evolved Neurodynamics for Robot Control
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ECAL
2007
Springer
14 years 1 months ago
Neural Uncertainty and Sensorimotor Robustness
Real organisms live in a world full of uncertain situations and have evolved cognitive mechanisms to cope with problems based on actions and perceptions which are not always reliab...
Jose A. Fernandez-Leon, Ezequiel A. Di Paolo
PPSN
2004
Springer
14 years 24 days ago
A Neuroevolutionary Approach to Emergent Task Decomposition
A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...
KI
2001
Springer
13 years 12 months ago
Belief Update in the pGOLOG Framework
High-level controllers that operate robots in dynamic, uncertain domains are concerned with at least two reasoning tasks dealing with the effects of noisy sensors and effectors: T...
Henrik Grosskreutz, Gerhard Lakemeyer
AROBOTS
1999
140views more  AROBOTS 1999»
13 years 7 months ago
A Robust Analog VLSI Motion Sensor Based on the Visual System of the Fly
Sensing visual motion gives a creature valuable information about its interactions with the environment. Flies in particular use visual motion information to navigate through turbu...
Reid R. Harrison, Christof Koch
ICANNGA
2009
Springer
203views Algorithms» more  ICANNGA 2009»
14 years 2 months ago
NEAT in HyperNEAT Substituted with Genetic Programming
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...
Zdenek Buk, Jan Koutník, Miroslav Snorek