Variations of individual’s personality traits have been identified before as one of the possible mechanisms for the emergence of leadership in an interactive collective, which may lead to benefits for the group as a whole. Complementing the large number of existing literatures on using simulation models to study leadership, we use biomimetic robotic fish to gain insight into how the fish’s behaviours evolve under the influence of the physical hydrodynamics. In particular, we focus in this paper on understanding how robotic fish’s personality traits affect the emergence of an effective leading fish in repeated robotic foraging tasks when the robotic fish’s strategies, to push or not to push the obstacle in its foraging path, are updated over time following an evolutionary game set-up. We further show that the robotic fish’s personality traits diverge when the group carries out difficult foraging tasks in our experiments, and self-organization takes place to help the group to adapt to the level of difficulties of the tasks without inter-individual communication.


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    Title :

    Emergence of leadership in a robotic fish group under diverging individual personality traits


    Contributors:
    Wang, Chen (author) / Chen, Xiaojie (author) / Xie, Guangming (author) / Cao, Ming (author)

    Publication date :

    2017-05-24


    Remarks:

    Wang , C , Chen , X , Xie , G & Cao , M 2017 , ' Emergence of leadership in a robotic fish group under diverging individual personality traits ' , Royal Society Open Science , vol. 4 , no. 6 , 161015 . https://doi.org/10.1098/rsos.161015



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629





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