The BioRobotics Institute, Sant'Anna School of Advanced Studies, viale Rinaldo Piaggio 34, Pisa, Pontedera 56025, Italy.
Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, Pisa 56127, Italy.
J R Soc Interface. 2021 Mar;18(176):20210056. doi: 10.1098/rsif.2021.0056. Epub 2021 Mar 17.
Social learning represents a high-level complex process to acquire information about the environment, which is increasingly reported in invertebrates. The animal-robot interaction paradigm turned out to be an encouraging strategy to unveil social learning in vertebrates, but it has not been fully exploited in invertebrates. In this study, adults were induced to observe bio-robotic conspecific and predator demonstrators to reproduce different flower foraging choices. Can a fly manage two flows of social information with opposite valence? Herein, we attempt a reply. The selection process of was affected by social information provided through different bio-robotic demonstrators, by avoiding coloured discs previously visited by a bio-robotic predator and preferring coloured discs previously visited by a bio-robotic conspecific. When both bio-robotic demonstrators visited the same disc, the latency duration increased and the flies significantly tended to avoid this disc. This indicates the complex risk-benefit evaluation process carried out by during the acquisition of such social information. Overall, this article provides a unique perspective on the behavioural ecology of social learning in non-social insects; it also highlights the high potential of the animal-robot interaction approach for unveiling the full spectrum of invertebrates' abilities in using social information.
社会学习代表了一种获取环境信息的高级复杂过程,越来越多的无脊椎动物中也有报道。动物-机器人交互范式被证明是揭示脊椎动物社会学习的一种有希望的策略,但在无脊椎动物中尚未得到充分利用。在这项研究中,成年果蝇被诱导观察生物机器人同种和捕食者示范者,以再现不同的花朵觅食选择。果蝇能否同时处理两种具有相反效价的社会信息?在这里,我们尝试回答这个问题。选择过程受到通过不同生物机器人示范者提供的社会信息的影响,避免了先前被生物机器人捕食者访问过的有色圆盘,并更喜欢先前被生物机器人同种者访问过的有色圆盘。当两个生物机器人示范者访问同一个圆盘时,果蝇的潜伏期延长,并且显著倾向于避免这个圆盘。这表明果蝇在获取这种社会信息时进行了复杂的风险-收益评估过程。总的来说,本文为非社会性昆虫的社会学习行为生态学提供了一个独特的视角;它还突出了动物-机器人交互方法揭示无脊椎动物利用社会信息的全部能力的巨大潜力。