Comparison of different genotype encodings for simulated three-dimensional agents

Artificial Life
M Komosiński, A Rotaru-Varga

Abstract

We analyze the effect of different genetic encodings used for evolving three-dimensional agents with physical morphologies. The complex phenotypes used in such systems often require nontrivial encodings. Different encodings used in Framsticks--a system for evolving three-dimensional agents--are presented. These include a low-level direct mapping and two higher-level encodings: one recurrent and one developmental. Quantitative results are presented from three simple optimization tasks (passive height, active height, and locomotion speed). The low-level encoding produced solutions of lower fitness than the two higher-level encodings under similar conditions. Results from recurrent and developmental encodings had similar fitness values but displayed qualitative differences. Desirable advantages and some drawbacks of more complex encodings are established.

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Citations

Feb 1, 2008·Theory in Biosciences = Theorie in Den Biowissenschaften·Maciej Komosinski, Szymon Ulatowski
Jan 23, 2003·Artificial Life·Gregory S Hornby, Jordan B Pollack
Aug 9, 2003·Artificial Life·Kenneth O Stanley, Risto Miikkulainen
Feb 10, 2009·Artificial Life·Kenneth O StanleyJason Gauci
Mar 20, 2010·Neural Computation·Jason Gauci, Kenneth O Stanley
Jan 7, 2014·PLoS Computational Biology·Joshua E Auerbach, Josh C Bongard
May 4, 2016·Artificial Life·Michał JoachimczakTakaya Arita
Jul 3, 2021·Frontiers in Robotics and AI·Karine Miras
Jul 14, 2010·Bio Systems·Daniel Lobo, Francisco J Vico
Jul 3, 2019··Konrad MiazgaMaciej Komosinski
Jul 11, 2017··Kenneth O. Stanley, Kenneth O. Stanley

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