Collective behaviour across animal species

We posit a new geometric perspective to define, detect and classify inherent patterns of collective behaviour across a variety of animal species. We show that machine learning techniques and specifically the isometric mapping algorithm, allow the identification and interpretation of different types of collective behaviour in five social animal species. These results offer a first glimpse at the transformative potential of machine learning for ethology, similar to its impact on robotics, where it enabled robots to recognize objects and navigate the environment.

• Publication year

  2014

• Venue

  Scientific Reports

• Publication date

  2014-01-16

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1038/srep03723PMID 24430561PMCID 3893652
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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