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. Results are compared to a set of five fixed locomotion strategies and show that adaptive control can evolve and simultaneously optimise energy requirements, starting from the same locomotion non-adaptive strategies.

Idiotypic networks for evolutionary controllers in virtual creatures / Capodieci, Nicola; E., Hart; Cabri, Giacomo. - ELETTRONICO. - (2014), pp. 192-199. (Intervento presentato al convegno 14th International Conference on the Synthesis and Simulation of Living Systems (ALIFE 2014) tenutosi a New York, USA nel 30/7 - 2/8/2014) [10.7551/978-0-262-32621-6-ch032].

Idiotypic networks for evolutionary controllers in virtual creatures

CAPODIECI, NICOLA;CABRI, Giacomo
2014

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. Results are compared to a set of five fixed locomotion strategies and show that adaptive control can evolve and simultaneously optimise energy requirements, starting from the same locomotion non-adaptive strategies.
2014
14th International Conference on the Synthesis and Simulation of Living Systems (ALIFE 2014)
New York, USA
30/7 - 2/8/2014
192
199
Capodieci, Nicola; E., Hart; Cabri, Giacomo
Idiotypic networks for evolutionary controllers in virtual creatures / Capodieci, Nicola; E., Hart; Cabri, Giacomo. - ELETTRONICO. - (2014), pp. 192-199. (Intervento presentato al convegno 14th International Conference on the Synthesis and Simulation of Living Systems (ALIFE 2014) tenutosi a New York, USA nel 30/7 - 2/8/2014) [10.7551/978-0-262-32621-6-ch032].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1012318
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