Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A model of collective behavior based purely on vision

View ORCID ProfileRenaud Bastien, View ORCID ProfilePawel Romanczuk
doi: https://doi.org/10.1101/589663
Renaud Bastien
1Department of Collective Behaviour, Max Planck Institute for Ornithology, Konstanz, Germany
2Department of Biology, University of Konstanz, Konstanz, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Renaud Bastien
  • For correspondence: renaud@unred.org
Pawel Romanczuk
3Department of Biology, Institute for Theoretical Biology, Humboldt Universitt zu Berlin, Berlin, Germany
4Bernstein Center for Computational Neuroscience, Berlin, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Pawel Romanczuk
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Classical models of collective behavior often take a “birds-eye perspective,” assuming that individuals have access to social information that is not directly available (e.g., the behavior of individuals outside of their field of view). Despite the explanatory success of those models, it is now thought that a better understanding needs to incorporate of the perception of the individual, i.e. how internal and external information are acquired and processed. In particular, vision has appeared to be a central feature to gather external information and influence the collective organization of the group. Here we show that a vision based model of collective behavior is sufficient to generate organized collective behavior in the absence of spatial representation and collision. Our work suggests a novel approach for development of purely vision-based autonomous swarm robotic systems, and formulates a mathematical framework for exploration of perception-based interactions and how they differ from physical ones. Thus, it is of broader relevance for self-organization in complex systems, neuroscience, behavioral sciences and engineering.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted March 28, 2019.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A model of collective behavior based purely on vision
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
A model of collective behavior based purely on vision
Renaud Bastien, Pawel Romanczuk
bioRxiv 589663; doi: https://doi.org/10.1101/589663
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
A model of collective behavior based purely on vision
Renaud Bastien, Pawel Romanczuk
bioRxiv 589663; doi: https://doi.org/10.1101/589663

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Animal Behavior and Cognition
Subject Areas
All Articles
  • Animal Behavior and Cognition (4667)
  • Biochemistry (10332)
  • Bioengineering (7653)
  • Bioinformatics (26279)
  • Biophysics (13497)
  • Cancer Biology (10663)
  • Cell Biology (15392)
  • Clinical Trials (138)
  • Developmental Biology (8480)
  • Ecology (12800)
  • Epidemiology (2067)
  • Evolutionary Biology (16817)
  • Genetics (11380)
  • Genomics (15451)
  • Immunology (10591)
  • Microbiology (25141)
  • Molecular Biology (10190)
  • Neuroscience (54322)
  • Paleontology (399)
  • Pathology (1663)
  • Pharmacology and Toxicology (2889)
  • Physiology (4332)
  • Plant Biology (9223)
  • Scientific Communication and Education (1585)
  • Synthetic Biology (2552)
  • Systems Biology (6769)
  • Zoology (1459)