Errare humanum est? A Pilot Study to Evaluate the Human-Likeness of a AI Othello Playing Agent

被引:1
|
作者
Lauletta, Enrico [1 ]
Biancardi, Beatrice [2 ]
Norelli, Antonio [1 ]
Mancini, Maurizio [1 ]
Panconesi, Alessandro [1 ]
机构
[1] Sapienza Univ Rome, Rome, Italy
[2] LINEACT CESI, Nanterre, France
关键词
AI agent; board game; Othello; human-likeness;
D O I
10.1145/3514197.3549699
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
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页数:3
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