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Idiotypic networks for evolutionary controllers in virtual creatures.

Capodieci, Nicola; Hart, Emma; Cabri, Giacomo

Authors

Nicola Capodieci

Giacomo Cabri



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.

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
Publisher URL http://dx.doi.org/10.7551/978-0-262-32621-6-ch032
Contract Date Jul 1, 2014

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