Plastic ‘personalities’ for effective field swarms

Edmund R. Hunt
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引用次数: 1

Abstract

Most studies on real-world multi-robot systems have been performed in controlled laboratory environments, whereas the real world is unpredictable and sometimes hazardous. I have recently suggested that the natural phenomenon of phenotypic plasticity provides a useful bioinspiration framework for making such systems more resilient in field conditions [1]. Phenotypic plasticity occurs when a single genotype produces a range of phenotypes (observable traits) in response to different environmental conditions. Consistent individual behavioural differences can result from such plasticity, and have been described as ‘personalities’. At the same time, in social animals, individual heterogeneity is increasingly recognised as functional for the group. We can exploit this functional heterogeneity as engineers trying to design field robot systems, and phenotypic plasticity can provide meaningful diversity ‘for free’, based on the local experience of agents. Personality axes such as bold–shy or social–asocial can be represented as single variables, with the advantage of being transparent and intuitive for human users, and predictable in their effects. For example, in a dangerous environment, robots may become more ‘shy’ and ‘social’ to stay closer together and out of harm’s way.
可塑的“个性”用于有效的野外蜂群
大多数关于真实世界多机器人系统的研究都是在受控的实验室环境中进行的,而真实世界是不可预测的,有时甚至是危险的。我最近提出,表型可塑性的自然现象为使这类系统在野外条件下更具弹性提供了一个有用的生物灵感框架[1]。当一个基因型在不同的环境条件下产生一系列表型(可观察的性状)时,就会发生表型可塑性。这种可塑性导致了个体行为的持续差异,并被称为“个性”。与此同时,在群居动物中,个体的异质性越来越被认为是群体的功能。我们可以利用这种功能异质性作为工程师试图设计现场机器人系统,表型可塑性可以“免费”提供有意义的多样性,基于代理的本地经验。性格轴(如大胆害羞或社交社会性)可以表示为单个变量,其优点是对人类用户透明和直观,并且可以预测其影响。例如,在危险的环境中,机器人可能会变得更加“害羞”和“社交”,以保持更近的距离,远离伤害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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