Idiotypic networks for evolutionary controllers in virtual creatures.

Capodieci, Nicola; Hart, Emma; Cabri, Giacomo

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). Idiotypic networks for evolutionary controllers in virtual creatures. In H. Sayama, J. Rieffel, S. Risi, R. Doursat, & H. Lipson (Eds.), Artificial Life 14: Proceedings of ALife, 14th International Conference on the Synthesis and Simulation of Living Systems (192-199). https://doi.org/10.7551/978-0-262-32621-6-ch032

• 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