Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

New Classification of Collective Animal Behaviour as an Autonomous System

Takayuki Niizato
* ,
Kotaro Sakamoto
* ORCID logo ,
Yoh-ichi Mototake
,
Hisashi Murakami
ORCID logo ,
Takenori Tomaru
,
Tomotaro Hoshika
,
Toshiki Fukushima
Version 1 : Received: 27 February 2019 / Approved: 28 February 2019 / Online: 28 February 2019 (11:31:33 CET)

How to cite: Niizato, T.; Sakamoto, K.; Mototake, Y.; Murakami, H.; Tomaru, T.; Hoshika, T.; Fukushima, T. New Classification of Collective Animal Behaviour as an Autonomous System. Preprints 2019, 2019020269. https://doi.org/10.20944/preprints201902.0269.v1 Niizato, T.; Sakamoto, K.; Mototake, Y.; Murakami, H.; Tomaru, T.; Hoshika, T.; Fukushima, T. New Classification of Collective Animal Behaviour as an Autonomous System. Preprints 2019, 2019020269. https://doi.org/10.20944/preprints201902.0269.v1

Abstract

Integrated information theory (IIT) was initially proposed to describe human consciousness in terms of intrinsic, causal brain-network structures. This theory has the potential to be useful for conceptualising complex living systems. In a previous study, we analysed collective behaviour in Plecoglossus altivelis and found that IIT 3.0 exhibits qualitative discontinuity between three and four fish. Other measures like mutual information did not have such characteristics. In this study, we followed up on our previous findings and examined timescale effects on integrated information of collective behaviour. We found that a long timescale (1 s) causes Boid-like local interactions to dominate over interactions with the whole, but only when the group size is five at a given time scale (i.e. around 0.2 s). Interestingly, the most suitable time scale is roughly equal to fish reaction time. We used these data to propose a new classification for fish schools, with each size group being a unique and autonomous system, despite small group sizes.

Keywords

Integrated Information Theory; Collective Behaviour, Self-Organization; Cause and Effect Structure

Subject

Biology and Life Sciences, Animal Science, Veterinary Science and Zoology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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