## Evolving Diverse Collective Behaviors Independent of Swarm Density

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2015
Schmickl, Thomas
##### Publication type
Contribution to a conference collection
Published
##### Published in
GECCO Companion '15 : Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation / Silva, Sara et al. (ed.). - New York, NY : ACM, 2015. - pp. 1245-1246. - ISBN 978-1-4503-3488-4
##### Abstract
There are multiple different ways of implementing artificial evolution of collective behaviors. Besides a classical offline evolution approach, there is, for example, the option of environment-driven distributed evolutionary adaptation in the form of an artificial ecology [2] and more generally there is the approach of embodied evolution [1,3,6]. Another recently reported approach is the application of novelty search to swarm robotics [5]. In the following, we report an extension of the approach of [7]. The underlying concept is an information-theoretic analogon to thermodynamic (Helmholtz) free energy [8]. The assumption is that the brain is permanently trying to predict future perceptions and that minimizing the prediction error is basically inherent to brains. This is defined by the 'free-energy principle' of [4]. The struggle for prediction success requires a complementary force that represents curiosity and exploration. In this abstract we present an extended method called diverse-prediction that rewards not only for correct predictions but also for each visited sensory state. This proves to be a better approach compared to the method prediction that was reported before[7].
##### Subject (DDC)
004 Computer Science
##### Conference
GECCO '15 : Annual Conference on Genetic and Evolutionary Computation, Jul 11, 2015 - Jul 15, 2015, Madrid, Spain
##### Cite This
ISO 690ZAHADAT, Payam, Heiko HAMANN, Thomas SCHMICKL, 2015. Evolving Diverse Collective Behaviors Independent of Swarm Density. GECCO '15 : Annual Conference on Genetic and Evolutionary Computation. Madrid, Spain, Jul 11, 2015 - Jul 15, 2015. In: SILVA, Sara, ed. and others. GECCO Companion '15 : Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. New York, NY:ACM, pp. 1245-1246. ISBN 978-1-4503-3488-4. Available under: doi: 10.1145/2739482.2768492
BibTex
@inproceedings{Zahadat2015Evolv-59889,
year={2015},
doi={10.1145/2739482.2768492},
title={Evolving Diverse Collective Behaviors Independent of Swarm Density},
isbn={978-1-4503-3488-4},
publisher={ACM},
booktitle={GECCO Companion '15 : Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation},
pages={1245--1246},
editor={Silva, Sara},
author={Zahadat, Payam and Hamann, Heiko and Schmickl, Thomas}
}

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