scholarly journals Social information use by predators: expanding the information ecology of prey defences

Oikos ◽  
2021 ◽  
Author(s):  
Liisa Hämäläinen ◽  
Hannah M. Rowland ◽  
Johanna Mappes ◽  
Rose Thorogood
2018 ◽  
Vol 146 ◽  
pp. 63-70 ◽  
Author(s):  
Mike M. Webster ◽  
Kevin N. Laland

2018 ◽  
Vol 115 (44) ◽  
pp. E10387-E10396 ◽  
Author(s):  
Richard P. Mann

The patterns and mechanisms of collective decision making in humans and animals have attracted both empirical and theoretical attention. Of particular interest has been the variety of social feedback rules and the extent to which these behavioral rules can be explained and predicted from theories of rational estimation and decision making. However, models that aim to model the full range of social information use have incorporated ad hoc departures from rational decision-making theory to explain the apparent stochasticity and variability of behavior. In this paper I develop a model of social information use and collective decision making by fully rational agents that reveals how a wide range of apparently stochastic social decision rules emerge from fundamental information asymmetries both between individuals and between the decision makers and the observer of those decisions. As well as showing that rational decision making is consistent with empirical observations of collective behavior, this model makes several testable predictions about how individuals make decisions in groups and offers a valuable perspective on how we view sources of variability in animal, and human, behavior.


2009 ◽  
Vol 30 (1) ◽  
pp. 32-40 ◽  
Author(s):  
Ulf Toelch ◽  
Marjolijn J. van Delft ◽  
Matthew J. Bruce ◽  
Rogier Donders ◽  
Marius T.H. Meeus ◽  
...  

2020 ◽  
pp. 1-24
Author(s):  
James M. Borg ◽  
Alastair Channon

In a recent article by Borg and Channon it was shown that social information alone, decoupled from any within-lifetime learning, can result in improved performance on a food-foraging task compared to when social information is unavailable. Here we assess whether access to social information leads to significant behavioral differences both when access to social information leads to improved performance on the task, and when it does not: Do any behaviors resulting from social-information use, such as movement and increased agent interaction, persist even when the ability to discriminate between poisonous and non-poisonous food is no better than when social-information is unavailable? Using a neuroevolutionary artificial life simulation, we show that social-information use can lead to the emergence of behaviors that differ from when social information is unavailable, and that these behaviors act as a promoter of agent interaction. The results presented here suggest that the introduction of social information is sufficient, even when decoupled from within-lifetime learning, for the emergence of pro-social behaviors. We believe this work to be the first use of an artificial evolutionary system to explore the behavioral consequences of social-information use in the absence of within-lifetime learning.


2013 ◽  
pp. 272-297 ◽  
Author(s):  
Ira G. Federspiel ◽  
Nicola S. Clayton ◽  
Nathan J. Emery

2017 ◽  
Vol 28 (3) ◽  
pp. 767-775 ◽  
Author(s):  
Jakub Szymkowiak ◽  
Robert L. Thomson ◽  
Lechosław Kuczyński

2019 ◽  
Vol 6 (7) ◽  
pp. 182084 ◽  
Author(s):  
Marco Smolla ◽  
Charlotte Rosher ◽  
R. Tucker Gilman ◽  
Susanne Shultz

Individuals vary in their propensity to use social learning, the engine of cultural evolution, to acquire information about their environment. The causes of those differences, however, remain largely unclear. Using an agent-based model, we tested the hypothesis that as a result of reproductive skew differences in energetic requirements for reproduction affect the value of social information. We found that social learning is associated with lower variance in yield and is more likely to evolve in risk-averse low-skew populations than in high-skew populations. Reproductive skew may also result in sex differences in social information use, as empirical data suggest that females are often more risk-averse than males. To explore how risk may affect sex differences in learning strategies, we simulated learning in sexually reproducing populations where one sex experiences more reproductive skew than the other. When both sexes compete for the same resources, they tend to adopt extreme strategies: the sex with greater reproductive skew approaches pure individual learning and the other approaches pure social learning. These results provide insight into the conditions that promote individual and species level variation in social learning and so may affect cultural evolution.


PLoS ONE ◽  
2019 ◽  
Vol 14 (11) ◽  
pp. e0225498 ◽  
Author(s):  
Lucas Molleman ◽  
Patricia Kanngiesser ◽  
Wouter van den Bos

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