On the mechanisms of imitation in multi-agent systems

M. D. Erbas
{"title":"On the mechanisms of imitation in multi-agent systems","authors":"M. D. Erbas","doi":"10.1109/SSCI.2016.7850271","DOIUrl":null,"url":null,"abstract":"Imitation is a social learning method in which an individual observes and mimics another's actions. To implement imitation on robots, a number of questions should be answered, including what information should be copied during imitation, how to choose the behaviors to be copied and how to translate the observed behaviors. In this research, we aim to answer the first two questions in an experiment scenario with simulated agents. First, based on the content of information that is copied during imitation, we compare two different imitation methods, namely, imitation of actions only and imitation of actions and perceptions. It is shown that if the observed behaviors are highly context specific, imitating perceptions along with actions is beneficial compared to imitating actions only. Second, to answer the question of which behaviors to copy, we compared different selection strategies. It is shown that the agents can choose which behaviors to copy by checking the utility of observed behaviors by a trial and error mechanism.","PeriodicalId":120288,"journal":{"name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSCI.2016.7850271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Imitation is a social learning method in which an individual observes and mimics another's actions. To implement imitation on robots, a number of questions should be answered, including what information should be copied during imitation, how to choose the behaviors to be copied and how to translate the observed behaviors. In this research, we aim to answer the first two questions in an experiment scenario with simulated agents. First, based on the content of information that is copied during imitation, we compare two different imitation methods, namely, imitation of actions only and imitation of actions and perceptions. It is shown that if the observed behaviors are highly context specific, imitating perceptions along with actions is beneficial compared to imitating actions only. Second, to answer the question of which behaviors to copy, we compared different selection strategies. It is shown that the agents can choose which behaviors to copy by checking the utility of observed behaviors by a trial and error mechanism.
多智能体系统中的模仿机制研究
模仿是一种社会学习方法,个体观察和模仿他人的行为。为了在机器人上实现模仿,需要回答一些问题,包括在模仿过程中应该复制什么信息,如何选择要复制的行为以及如何翻译观察到的行为。在本研究中,我们的目标是在模拟代理的实验场景中回答前两个问题。首先,根据模仿过程中所复制的信息内容,比较了两种不同的模仿方法,即只模仿动作和模仿动作和感知。研究表明,如果观察到的行为是高度特定于情境的,那么模仿感知和行动比只模仿行动更有益。其次,为了回答复制哪些行为的问题,我们比较了不同的选择策略。研究表明,智能体可以通过试错机制检查观察到的行为的效用来选择复制哪些行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信