Nicola Capodieci
Idiotypic networks for evolutionary controllers in virtual creatures.
Capodieci, Nicola; Hart, Emma; Cabri, Giacomo
Authors
Contributors
Hiroki Sayama
Editor
John Rieffel
Editor
Sebastian Risi
Editor
Rene Doursat
Editor
Hod Lipson
Editor
Abstract
We propose a novel method for evolving adaptive locomotive strategies for virtual limbless creatures that addresses both functional and non-functional requirements, respectively the ability to avoid obstacles and to minimise spent energy. We describe an approach inspired by artificial immune systems, based on a dual-layer idiotypic network that results in a completely decentralised controller. Starting from a system initialised with five non-adaptive locomotion strategies, we show that an adaptive controller can evolve that both min- imises energy requirements and maximises distance covered when compared to the initial strategies.
Citation
Capodieci, N., Hart, E., & Cabri, G. (2014, July). Idiotypic networks for evolutionary controllers in virtual creatures
Presentation Conference Type | Conference Paper (published) |
---|---|
Start Date | Jul 30, 2014 |
End Date | Aug 2, 2014 |
Publication Date | 2014 |
Deposit Date | Jul 1, 2014 |
Publicly Available Date | Dec 31, 2014 |
Peer Reviewed | Peer Reviewed |
Pages | 192-199 |
Book Title | Artificial Life 14: Proceedings of ALife, 14th International Conference on the Synthesis and Simulation of Living Systems |
DOI | https://doi.org/10.7551/978-0-262-32621-6-ch032 |
Keywords | Dual-layer idiotypic network; adaptive controller; locomotive strategies; virtual limbless creatures; |
Public URL | http://researchrepository.napier.ac.uk/id/eprint/6901 |
Contract Date | Jul 1, 2014 |
Files
alife14.pdf
(863 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc/4.0/
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