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Abstract: One of the main limitations of scalability in body-brain evolution systems is the representation chosen for encoding creatures. This paper de nes a class of representations called generative representations, which are identi ed by their ability to reuse elements of the genotype in the translation to the phenotype. This paper presents an example of a generative representation for the concurrent evolution of the morphology and neural controller of simulated robots, and also introduces Genre, an ... (Update)
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BibTeX entry: (Update)
Hornby, G.S., Pollack, J.B.: Creating high-level components with a generative representation for body-brain evolution. Arti cial Life 8 (2002) 223-246 http://citeseer.ist.psu.edu/hornby02creating.html More
@misc{ hornby02creating,
author = "G. Hornby and J. Pollack",
title = "Creating high-level components with a generative representation for body-brain
evolution",
text = "Hornby, G.S., Pollack, J.B.: Creating high-level components with a generative
representation for body-brain evolution. Arti cial Life 8 (2002) 223-246",
year = "2002",
url = "citeseer.ist.psu.edu/hornby02creating.html" }
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28 The advantages of generative grammatical encodings for physi.. - Hornby, Pollack - 2001
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