Preprint Article Version 1 This version is not peer-reviewed

New Classification of Collective Animal Behaviour as an Autonomous System

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 (doi: 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 (doi: 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.

Subject Areas

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

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.