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    Modelling collective decision-making: Insights into collective anti-predator behaviors from an agent-based approach

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    Thumbnail
    Name:
    NAKFI_Manuscript_20211007TextC ...
    Embargo:
    2023-04-10
    Size:
    1.317Mb
    Format:
    PDF
    Description:
    Final Accepted Manuscript
    Download
    Author
    Watzek, Julia
    Hauber, Mark E.
    Jack, Katharine M.
    Murrell, Julie R.
    Tecot, Stacey R.
    Brosnan, Sarah F.
    Affiliation
    School of Anthropology, University of Arizona
    Issue Date
    2021-12
    Keywords
    Agent-based model
    Animal cognition
    Collective behavior
    Group decision-making
    Mobbing behavior
    Predator defense
    
    Metadata
    Show full item record
    Publisher
    Elsevier BV
    Citation
    Watzek, J., Hauber, M. E., Jack, K. M., Murrell, J. R., Tecot, S. R., & Brosnan, S. F. (2021). Modelling collective decision-making: Insights into collective anti-predator behaviors from an agent-based approach. Behavioural Processes.
    Journal
    Behavioural Processes
    Rights
    © 2021 Elsevier B.V. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Collective decision-making is a widespread phenomenon across organisms. Studying how animal societies make group decisions to the mutual benefit of group members, while avoiding exploitation by cheaters, can provide unique insights into the underlying cognitive mechanisms. As a step toward dissecting the proximate mechanisms that underpin collective decision-making across animals, we developed an agent-based model of antipredatory alarm signaling and mobbing during predator-prey encounters. Such collective behaviors occur in response to physical threats in many distantly related species with vastly different cognitive abilities, making it a broadly important model behavior. We systematically assessed under which quantitative contexts potential prey benefit from three basic strategies: predator detection, signaling about the predator (e.g., alarm calling), and retreating from vs. approaching the predator. Collective signaling increased survival rates over individual predator detection in several scenarios. Signaling sometimes led to fewer prey detecting the predator but this effect disappeared when prey animals that had seen the predator both signaled and approached it, as in mobbing. Critically, our results highlight that collective decision-making in response to a threat can emerge from simple rules without needing a central leader or needing to be under conscious control.
    Note
    18 month embargo; available online 10 October 2021
    ISSN
    0376-6357
    DOI
    10.1016/j.beproc.2021.104530
    Version
    Final accepted manuscript
    Sponsors
    Georgia State University
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.beproc.2021.104530
    Scopus Count
    Collections
    UA Faculty Publications

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