Publikation: Probabilistic Modeling of Swarming Systems
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2015
Autor:innen
Correll, Nikolaus
Herausgeber:innen
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Titel in einer weiteren Sprache
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Published
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KACPRZYK, Janusz, Hrsg., Witold PEDRYCZ, Hrsg.. Springer Handbook of Computational Intelligence. Berlin: Springer, 2015, S. 1423-1432. Springer Handbooks. ISBN 978-3-662-43504-5. Verfügbar unter: doi: 10.1007/978-3-662-43505-2_74
Zusammenfassung
This chapter provides on overview on probabilistic modeling of swarming systems. We first show how population dynamics models can be derived from the master equation in physics. We then present models with increasing complexity and with varying degrees of spatial dynamics. We will first introduce a model for collaboration and show how macroscopic models can be used to derive optimal policies for the individual robot analytically. We then introduce two models for collective decisions; first modeling spatiality implicitly by tracking the number of robots at specific sites and then explicitly using a Fokker–Planck equation. The chapter is concluded with open challenges in combining non-spatial with spatial probabilistic modeling techniques.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Master Equation, Langevin Equation, Planck Equation, Collective Decision, Swarm Robotic
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ISO 690
CORRELL, Nikolaus, Heiko HAMANN, 2015. Probabilistic Modeling of Swarming Systems. In: KACPRZYK, Janusz, Hrsg., Witold PEDRYCZ, Hrsg.. Springer Handbook of Computational Intelligence. Berlin: Springer, 2015, S. 1423-1432. Springer Handbooks. ISBN 978-3-662-43504-5. Verfügbar unter: doi: 10.1007/978-3-662-43505-2_74BibTex
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year={2015},
doi={10.1007/978-3-662-43505-2_74},
title={Probabilistic Modeling of Swarming Systems},
isbn={978-3-662-43504-5},
publisher={Springer},
address={Berlin},
series={Springer Handbooks},
booktitle={Springer Handbook of Computational Intelligence},
pages={1423--1432},
editor={Kacprzyk, Janusz and Pedrycz, Witold},
author={Correll, Nikolaus and Hamann, Heiko}
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