FSTaxis algorithm: Bio-inspired emergent gradient taxis

Joshua Cherian Varughese*, Ronald Thenius, Franz Wotawa, Thomas Schmickl

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

This article presents a novel bio-inspired emergent gradient taxis principle for robot swarms. The underlying communication method was inspired by slime mold and fireflies. Nature showcases a number of simple organisms which can display complex behavior in various aspects of their lives such as signaling, foraging, mating etc. Such decentralized behaviors at the organism level gives rise to an emergent intelligence such as in bees, slime mold, fireflies etc. Chemo taxis and photo taxis are known to be abilities exhibited by simple organisms without elaborate sensory and actuation capabilities. Our novel algorithm combines the underlying principles of slime mold and fireflies to achieve gradient taxis purely based on neighbor-to-neighbor communication. In this article, we present a model of the algorithm and test the algorithm in a multiagent simulation environment.

Originalspracheenglisch
TitelProceedings of the Artificial Life Conference 2016, ALIFE 2016
Redakteure/-innenCarlos Gershenson, Tom Froese, Jesus M. Siqueiros, Wendy Aguilar, Eduardo J. Izquierdo, Sayama Hiroki
Herausgeber (Verlag)MIT Press Journals
ISBN (elektronisch)9780262339360
PublikationsstatusVeröffentlicht - 1 Jan 2016
Extern publiziertJa
Veranstaltung15th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2016 - Cancun, Mexico
Dauer: 4 Jul 20168 Jul 2016

Publikationsreihe

NameProceedings of the Artificial Life Conference 2016, ALIFE 2016

Konferenz

Konferenz15th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2016
LandMexico
OrtCancun
Zeitraum4/07/168/07/16

ASJC Scopus subject areas

  • !!Biochemistry, Genetics and Molecular Biology(all)
  • Artificial intelligence
  • !!Modelling and Simulation

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