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      Guppies Prefer to Follow Large (Robot) Leaders Irrespective of Own Size

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          Abstract

          Body size is often assumed to determine how successfully an individual can lead others with larger individuals being better leaders than smaller ones. But even if larger individuals are more readily followed, body size often correlates with specific behavioral patterns and it is thus unclear whether larger individuals are more often followed than smaller ones because of their size or because they behave in a certain way. To control for behavioral differences among differentially-sized leaders, we used biomimetic robotic fish (Robofish) of different sizes. Live guppies ( Poecilia reticulata) are known to interact with Robofish in a similar way as with live conspecifics. Consequently, Robofish may serve as a conspecific-like leader that provides standardized behaviors irrespective of its size. We asked whether larger Robofish leaders are preferentially followed and whether the preferences of followers depend on own body size or risk-taking behavior (“boldness”). We found that live female guppies followed larger Robofish leaders in closer proximity than smaller ones and this pattern was independent of the followers’ own body size as well as risk-taking behavior. Our study shows a “bigger is better” pattern in leadership that is independent of behavioral differences among differentially-sized leaders, followers’ own size and risk-taking behavior.

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          Most cited references79

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          Social learning strategies.

          In most studies of social learning in animals, no attempt has been made to examine the nature of the strategy adopted by animals when they copy others. Researchers have expended considerable effort in exploring the psychological processes that underlie social learning and amassed extensive data banks recording purported social learning in the field, but the contexts under which animals copy others remain unexplored. Yet, theoretical models used to investigate the adaptive advantages of social learning lead to the conclusion that social learning cannot be indiscriminate and that individuals should adopt strategies that dictate the circumstances under which they copy others and from whom they learn. In this article, I discuss a number of possible strategies that are predicted by theoretical analyses, including copy when uncertain, copy the majority, and copy if better, and consider the empirical evidence in support of each, drawing from both the animal and human social learning literature. Reliance on social learning strategies may be organized hierarchically, their being employed by animals when unlearned and asocially learned strategies prove ineffective but before animals take recourse in innovation.
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            Assessment of fighting ability in animal contests

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              Fast-moving soft electronic fish

              A soft robotic fish can quickly swim and turn with a fully integrated onboard system for power and remote control.
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                Author and article information

                Contributors
                Journal
                Front Bioeng Biotechnol
                Front Bioeng Biotechnol
                Front. Bioeng. Biotechnol.
                Frontiers in Bioengineering and Biotechnology
                Frontiers Media S.A.
                2296-4185
                15 May 2020
                2020
                : 8
                : 441
                Affiliations
                [1] 1Faculty of Life Sciences, Thaer Institute, Humboldt-Universität zu Berlin , Berlin, Germany
                [2] 2Excellence Cluster ‘Science of Intelligence’, Technische Universität Berlin , Berlin, Germany
                [3] 3Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries , Berlin, Germany
                [4] 4Department of Mathematics and Computer Science, Institute for Computer Science, Freie Universität Berlin , Berlin, Germany
                [5] 5Department of Biology, Institute for Theoretical Biology, Humboldt-Universität zu Berlin , Berlin, Germany
                [6] 6Bernstein Center for Computational Neuroscience, Humboldt-Universität zu Berlin , Berlin, Germany
                Author notes

                Edited by: Donato Romano, Sant’Anna School of Advanced Studies, Italy

                Reviewed by: Xiaojuan Mo, Northwestern Polytechnical University, China; Stefanie Gierszewski, University of Siegen, Germany

                *Correspondence: David Bierbach, david.bierbach@ 123456gmx.de

                This article was submitted to Bionics and Biomimetics, a section of the journal Frontiers in Bioengineering and Biotechnology

                Article
                10.3389/fbioe.2020.00441
                7243707
                32500065
                4b56c27e-25a3-458a-9363-60dffc85142d
                Copyright © 2020 Bierbach, Mönck, Lukas, Habedank, Romanczuk, Landgraf and Krause.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 16 January 2020
                : 16 April 2020
                Page count
                Figures: 2, Tables: 0, Equations: 0, References: 82, Pages: 8, Words: 0
                Funding
                Funded by: Deutsche Forschungsgemeinschaft 10.13039/501100001659
                Award ID: BI 1828/2-1
                Award ID: RO 4766/2-1
                Award ID: LA 3534/1-1
                Award ID: EXC 2002/1/390523135
                Categories
                Bioengineering and Biotechnology
                Original Research

                biomimetic robots,poecilia reticulata,leadership,body size,robotic fish

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