Errare humanum est?: a pilot study to evaluate the human-likeness of a AI othello playing agent

Enrico Lauletta, Béatrice Biancardi, Antonio Norelli, M. Mancini, A. Panconesi
{"title":"Errare humanum est?: a pilot study to evaluate the human-likeness of a AI othello playing agent","authors":"Enrico Lauletta, Béatrice Biancardi, Antonio Norelli, M. Mancini, A. Panconesi","doi":"10.1145/3514197.3549699","DOIUrl":null,"url":null,"abstract":"Olivaw is an AI Othello playing agent which autonomously learns how to improve its gameplay by playing against itself. Some top-notch players (including former World Champions) reported that they had the impression that Olivaw's gameplay was human-like. To better investigate the processes related to these impressions, we conducted a pilot study using the Othello Game Evaluation App, a computer application we developed to evaluate pre-recorded Othello games in a controlled setting while assuring an adequate user experience. An exploratory analysis of the results shows that the participants mostly evaluated Olivaw as a human. When asked for a motivation for their choice, some of them reported that they evaluate poor game moves (and, consequently, losing the game) as an indication of the human-likeness of the player.","PeriodicalId":149593,"journal":{"name":"Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3514197.3549699","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

Olivaw is an AI Othello playing agent which autonomously learns how to improve its gameplay by playing against itself. Some top-notch players (including former World Champions) reported that they had the impression that Olivaw's gameplay was human-like. To better investigate the processes related to these impressions, we conducted a pilot study using the Othello Game Evaluation App, a computer application we developed to evaluate pre-recorded Othello games in a controlled setting while assuring an adequate user experience. An exploratory analysis of the results shows that the participants mostly evaluated Olivaw as a human. When asked for a motivation for their choice, some of them reported that they evaluate poor game moves (and, consequently, losing the game) as an indication of the human-likeness of the player.
错误的人类est?一项初步研究,以评估人工智能奥赛罗的人类相似性
Olivaw是一个AI奥赛罗游戏代理,它可以自主学习如何通过与自己对抗来提高游戏玩法。一些顶级玩家(包括前世界冠军)表示,他们觉得《Olivaw》的玩法和人类很像。为了更好地调查与这些印象相关的过程,我们使用奥赛罗游戏评估应用程序进行了一项试点研究,这是我们开发的一款计算机应用程序,用于在受控环境下评估预先录制的奥赛罗游戏,同时确保充分的用户体验。对结果的探索性分析表明,参与者大多将奥利瓦视为人类。当被问及做出选择的动机时,有些人表示他们会将糟糕的游戏移动(并因此输掉游戏)视为玩家与人类相似的迹象。
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