Intelligence without representation
Artificial Intelligence
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Evolving Virtual Creatures and Catapults
Artificial Life
Evolving 3d morphology and behavior by competition
Artificial Life
Morphid academy: a virtual laboratory for evolution of form and function
Morphid academy: a virtual laboratory for evolution of form and function
Incremental evolution of robot controllers for a highly integrated task
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Dealing with rounding error problems in evolutionary physical simulation
Artificial Life and Robotics
Open-ended behavioral complexity for evolved virtual creatures
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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We evolve light following behaviours in virtual creatures through neural network training using an incremental evolution approach. The neural controllers of creatures evolved for movement are augmented with simple visual neurons and neural connections. Using an evolutionary algorithm, the resulting creatures are trained to identify and follow a light source. Through this process, we are able to train the neural controllers to create various light following behaviours. Many of the evolved behaviours show stability and adaptiveness to environmental perturbations of body orientation.