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      The creation of phenomena in interactive biorobotics

      research-article
      Biological Cybernetics
      Springer Berlin Heidelberg
      Interactive biorobotics, Social behaviour, Explanation, Understanding

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          Abstract

          In so-called interactive biorobotics, robotic models of living systems interact with animals in controlled experimental settings. By observing how the focal animal reacts to the stimuli delivered by the robot, one tests hypotheses concerning the determinants of animal behaviour in social contexts. Building on previous methodological reconstructions of interactive biorobotics, this article reflects on the claim, made by several authors in the field, that this strategy may enable one to explain social phenomena in animals. The answer offered here will be negative: interactive biorobotics does not contribute to the explanation of social phenomena. However, it may greatly contribute to the study of animal behaviour by creating social phenomena in the sense discussed by Ian Hacking, i.e. by precisely defining new phenomena to be explained. It will be also suggested that interactive biorobotics can be combined with more classical robot-based approaches to the study of living systems, leading to a so-called simulation-interactive strategy for the mechanistic explanation of social behaviour in animals.

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          Most cited references62

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          Studies in the Logic of Explanation

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            Causal Mechanisms in the Social Sciences

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              Social integration of robots into groups of cockroaches to control self-organized choices.

              Collective behavior based on self-organization has been shown in group-living animals from insects to vertebrates. These findings have stimulated engineers to investigate approaches for the coordination of autonomous multirobot systems based on self-organization. In this experimental study, we show collective decision-making by mixed groups of cockroaches and socially integrated autonomous robots, leading to shared shelter selection. Individuals, natural or artificial, are perceived as equivalent, and the collective decision emerges from nonlinear feedbacks based on local interactions. Even when in the minority, robots can modulate the collective decision-making process and produce a global pattern not observed in their absence. These results demonstrate the possibility of using intelligent autonomous devices to study and control self-organized behavioral patterns in group-living animals.

                Author and article information

                Contributors
                edoardo.datteri@unimib.it
                Journal
                Biol Cybern
                Biol Cybern
                Biological Cybernetics
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0340-1200
                1432-0770
                29 October 2021
                29 October 2021
                2021
                : 115
                : 6
                : 629-642
                Affiliations
                GRID grid.7563.7, ISNI 0000 0001 2174 1754, RobotiCSS Lab, Laboratory of Robotics for the Cognitive and Social Sciences, Department of Human Sciences for Education, , University of Milano-Bicocca, ; Milano, Italy
                Author notes

                Communicated by Donato Romano.

                Author information
                http://orcid.org/0000-0003-0323-2985
                Article
                900
                10.1007/s00422-021-00900-x
                8642366
                34714419
                10e5c49a-a3c6-416f-b485-6ec170368437
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 18 June 2021
                : 28 September 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003407, ministero dell’istruzione, dell’università e della ricerca;
                Award ID: 2020-ATE-0203
                Award Recipient :
                Funded by: Università degli Studi di Milano - Bicocca
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2021

                Robotics
                interactive biorobotics,social behaviour,explanation,understanding
                Robotics
                interactive biorobotics, social behaviour, explanation, understanding

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