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Abstract: Several researchers have demonstrated how complex action sequences can be learned through neuro-evolution (i.e. evolving neural networks with genetic algorithms). However, complex general behavior such as evading predators or avoiding obstacles, which is not tied to specific environments, turns out to be very difficult to evolve. Often the system discovers mechanical strategies (such as moving back and forth) that help the agent cope, but are not very effective, do not appear believable and... (Update)
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BibTeX entry: (Update)
F. Gomez and R. Miikkulainen. Incremental evolution of complex general behavior. Adaptive Behavior, 5(3--4):317--342, 1997. http://citeseer.ist.psu.edu/article/gomez97incremental.html More
@techreport{ gomez96incremental,
author = "Faustino Gomez and Risto Miikkulainen",
title = "Incremental Evolution of Complex General Behavior",
number = "AI96-248",
month = "1,",
year = "1996",
url = "citeseer.ist.psu.edu/article/gomez97incremental.html" }
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