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Rethinking animal social complexity measures with the help of complex systems concepts

期刊

ANIMAL BEHAVIOUR
卷 155, 期 -, 页码 287-296

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.anbehav.2019.05.016

关键词

animal sociality; coarse graining; complex systems; compression; downward causation; emergence; feedback; self-organization; social scale; social structure

资金

  1. Complexity Fellowship from Arizona State University-Santa Fe Institute (ASU-SFI) Centre for Biosocial Complex Systems
  2. Omidyar Fellowships at the Santa Fe Institute
  3. University of Melbourne's Research Fellowship in Computational Cognitive Science

向作者/读者索取更多资源

Explaining how and why some species evolved to have more complex social structures than others has been a long-term goal for many researchers in animal behaviour because it would provide important insight into the links between evolution and ecology, sociality and cognition. However, despite long-standing interest, the evolution of social complexity is still poorly understood. This may be due in part to researchers focusing on the feasibility of quantifying aspects of sociality, rather than what features are characteristic of animal social complexity in the first place. Any given approach to studying complexity can tell us some things about animal sociality, but may miss others, so it is critical to decide first how to conceptualize complexity before jumping in to quantifying it. Here, we briefly summarize five existing approaches to measuring social complexity. Then, we highlight three fundamental concepts that are commonly used in the field of complex systems: (1) scales of organization, (2) compression and (3) emergence. All of these concepts are applicable to the study of animal social systems, but are not often explicitly addressed in existing social complexity measures. We discuss how these concepts can provide a rigorous foundation for conceptualizing social complexity, the potential benefits of incorporating them and how existing measures do (or do not) include them. Ultimately, researchers need to critically evaluate any measure of animal social complexity in order to balance the biological relevance of the aspect of sociality they are quantifying with the feasibility of obtaining enough data. (C) 2019 Published by Elsevier Ltd on behalf of The Association for the Study of Animal Behaviour.

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