Many-Eyes and Sentinels in Selfish and Cooperative Groups

Fuente: arXiv
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Main Authors: Pilgrim, Charlie, Bate, Andrew M, Sigalou, Anna, Aellen, Mélisande, Morford, Joe, Warren, Elizabeth, Krupenye, Christopher, Biro, Dora, Mann, Richard P
Format: Preprint
Published: 2025
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author Pilgrim, Charlie
Bate, Andrew M
Sigalou, Anna
Aellen, Mélisande
Morford, Joe
Warren, Elizabeth
Krupenye, Christopher
Biro, Dora
Mann, Richard P
author_facet Pilgrim, Charlie
Bate, Andrew M
Sigalou, Anna
Aellen, Mélisande
Morford, Joe
Warren, Elizabeth
Krupenye, Christopher
Biro, Dora
Mann, Richard P
contents Collective vigilance describes how animals in groups benefit from the predator detection efforts of others. Empirical observations typically find either a many-eyes strategy with all (or many) group members maintaining a low level of individual vigilance, or a sentinel strategy with one (or a few) individuals maintaining a high level of individual vigilance while others do not. With a general analytical treatment that makes minimal assumptions, we show that these two strategies are alternate solutions to the same adaptive problem of balancing the costs of predation and vigilance. Which strategy is preferred depends on how costs scale with the level of individual vigilance: many-eyes strategies are preferred where costs of vigilance rise gently at low levels but become steeper at higher levels (convex; e.g. an open field); sentinel strategies are preferred where costs of vigilance rise steeply at low levels and then flatten out (concave; e.g. environments with vantage points). This same dichotomy emerges whether individuals act selfishly to optimise their own fitness or cooperatively to optimise group fitness. The model is extended to explain discrete behavioural switching between strategies and differential levels of vigilance such as edge effects.
format Preprint
id arxiv_https___arxiv_org_abs_2511_19093
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Many-Eyes and Sentinels in Selfish and Cooperative Groups
Pilgrim, Charlie
Bate, Andrew M
Sigalou, Anna
Aellen, Mélisande
Morford, Joe
Warren, Elizabeth
Krupenye, Christopher
Biro, Dora
Mann, Richard P
Populations and Evolution
Multiagent Systems
Biological Physics
Collective vigilance describes how animals in groups benefit from the predator detection efforts of others. Empirical observations typically find either a many-eyes strategy with all (or many) group members maintaining a low level of individual vigilance, or a sentinel strategy with one (or a few) individuals maintaining a high level of individual vigilance while others do not. With a general analytical treatment that makes minimal assumptions, we show that these two strategies are alternate solutions to the same adaptive problem of balancing the costs of predation and vigilance. Which strategy is preferred depends on how costs scale with the level of individual vigilance: many-eyes strategies are preferred where costs of vigilance rise gently at low levels but become steeper at higher levels (convex; e.g. an open field); sentinel strategies are preferred where costs of vigilance rise steeply at low levels and then flatten out (concave; e.g. environments with vantage points). This same dichotomy emerges whether individuals act selfishly to optimise their own fitness or cooperatively to optimise group fitness. The model is extended to explain discrete behavioural switching between strategies and differential levels of vigilance such as edge effects.
title Many-Eyes and Sentinels in Selfish and Cooperative Groups
topic Populations and Evolution
Multiagent Systems
Biological Physics
url https://arxiv.org/abs/2511.19093