計測自動制御学会論文集
Online ISSN : 1883-8189
Print ISSN : 0453-4654
ISSN-L : 0453-4654
論文
機械学習アプローチから探す群れ行動の発現機序
—捕食者からの逃避戦略の学習に基づく自発的な群れ行動の獲得—
末岡 裕一郎石谷 槙彦沖本 将崇杉本 靖博大須賀 公一
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ジャーナル フリー

2022 年 58 巻 2 号 p. 73-80

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Why do animals form swarms? In general, research into such swarms is often conducted by directly examining their movements of a swarm and presenting them as a mathematical model (in terms of differential equations) by comparing them with the movements of live animals. Although there several top-down approaches for studying animal swarms, few studies have investigated the underlying reason of emergence of swarms. In this study, we attempt to investigate this via an artificial approach based on the machine learning method. A single predator and multiple escapees are used to investigate whether or not the escapees form swarms for prolonged survival, and if so, how their swarming behavior can be modeled.

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