社会的に有能なロボット：適応が生きた魚群のリーダーシップ性能を向上させる
Socially competent robots: adaptation improves leadership performance in groups of live fish
ロボット魚RoboFishが仲間の回避反応に適応する「社会的有能さ」を実装し、それがリーダーシップ性能を高めることを実魚群実験で示した研究。
著者: Tim Landgraf, Hauke J. Moenck, Gregor H. W. Gebhardt, Nils Weimar, Mathis Hocke, Moritz Maxeiner, Lea Musiolek, Jens Krause, David Bierbach
分類: cs.RO
原文アブストラクト
Collective motion is commonly modeled with simple interaction rules between agents. Yet in nature, numerous observables vary within and between individuals and it remains largely unknown how animals respond to this variability, and how much of it may be the result of social responses. Here, we hypothesize that Guppies (\textit{Poecilia reticulata}) respond to avoidance behaviors of their shoal mates and that "socially competent" responses allow them to be more effective leaders. We test this hypothesis in an experimental setting in which a robotic Guppy, called RoboFish, is programmed to adapt to avoidance reactions of its live interaction partner. We compare the leadership performance between socially competent robots and two non-competent control behaviors and find that 1) behavioral variability itself appears attractive and that socially competent robots are better leaders that 2) require fewer approach attempts to 3) elicit longer average following behavior than non-competent agents. This work provides evidence that social responsiveness to avoidance reactions plays a role in the social dynamics of guppies. We showcase how social responsiveness can be modeled and tested directly embedded in a living animal model using adaptive, interactive robots.
