scholarly journals Tutors do not facilitate rapid resource exploitation in temporary tadpole aggregations

2021 ◽  
Vol 8 (5) ◽  
Author(s):  
Zoltán Tóth ◽  
Boglárka Jaloveczki

The utilization of social cues is usually considered an important adaptation to living in social groups, but recent evidence suggests that social information use may be more prevalent in the animal kingdom than previously thought. However, it is debated whether such information can efficiently diffuse in temporary aggregations of non-grouping individuals where social cohesion does not facilitate information transmission. Here, we provide experimental evidence that a simple social cue, the movement of conspecifics in a structured environment affected individuals' spatial decisions in common frog ( Rana temporaria ) tadpoles and thereby facilitated the discovery rate of a novel food patch. However, this was true only in those tadpole collectives that consisted solely of untutored individuals. In those collectives where tutors with prior experience with the presented food type were also present, this social effect was negligible most probably due to the difference in activity between naive and tutor individuals. We also showed that the proportion of tadpoles that discovered the food patch was higher in the control than in the tutored collectives, while the proportion of feeding tadpoles was only marginally higher in the latter collectives. Our findings indicate that social information use can influence resource acquisition in temporary aggregations of non-grouping animals, but individual differences in satiety may hinder effective information spread associated with exploitable food patches.

2017 ◽  
Vol 114 (30) ◽  
pp. 7838-7845 ◽  
Author(s):  
Ellouise Leadbeater ◽  
Erika H. Dawson

The social world offers a wealth of opportunities to learn from others, and across the animal kingdom individuals capitalize on those opportunities. Here, we explore the role of natural selection in shaping the processes that underlie social information use, using a suite of experiments on social insects as case studies. We illustrate how an associative framework can encompass complex, context-specific social learning in the insect world and beyond, and based on the hypothesis that evolution acts to modify the associative process, suggest potential pathways by which social information use could evolve to become more efficient and effective. Social insects are distant relatives of vertebrate social learners, but the research we describe highlights routes by which natural selection could coopt similar cognitive raw material across the animal kingdom.


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.


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