Probabilistic modeling of swarming systems

Nikolaus Correll*, Heiko Hamann

*Korrespondierende/r Autor/-in für diese Arbeit
15 Zitate (Scopus)

Abstract

This chapter provides on overview on probabilistic modeling of swarming systems. We first showhow 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 deriveoptimal 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 withopen challenges in combining non-spatial with spatial probabilistic modeling techniques.

OriginalspracheEnglisch
TitelSpringer Handbook of Computational Intelligence
Seitenumfang10
Herausgeber (Verlag)Springer Berlin Heidelberg
Erscheinungsdatum01.01.2015
Seiten1423-1432
ISBN (Print)9783662435045
ISBN (elektronisch)9783662435052
DOIs
PublikationsstatusVeröffentlicht - 01.01.2015

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