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CEC
2009
IEEE
15 years 6 months ago
HyperNEAT controlled robots learn how to drive on roads in simulated environment
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
Jan Drchal, Jan Koutník, Miroslav Snorek

Book
498views
16 years 10 months ago
Machine Learning, Neural and Statistical Classification
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks Methods ...
Ellis Horwood
EVOW
2010
Springer
15 years 6 months ago
Learning to Dance through Interactive Evolution
A relatively rare application of artificial intelligence at the nexus of art and music is dance. The impulse shared by all humans to express ourselves through dance represents a u...
Greg A. Dubbin, Kenneth O. Stanley
IJCNN
2000
IEEE
15 years 3 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
15 years 5 months ago
The effect of learning on life history evolution
A series of evolutionary neural network simulations are presented which explore the hypothesis that learning factors can result in the evolution of long periods of parental protec...
John A. Bullinaria