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

Published: 06 September 2022 Publication History

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.

References

[1]
Richard Delorme. 1998. Edax. https://github.com/abulmo/edax-reversi
[2]
Antonio Norelli and Alessandro Panconesi. 2022. OLIVAW: Mastering Othello without Human Knowledge, nor a Penny. IEEE Transactions on Games (2022).
[3]
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, et al. 2017. Mastering the game of go without human knowledge. nature 550, 7676 (2017), 354--359.
[4]
Iskander Umarov and Maxim Mozgovoy. 2014. Creating believable and effective AI agents for games and simulations: Reviews and case study. In Contemporary Advancements in Information Technology Development in Dynamic Environments. IGI Global, 33--57.

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      cover image ACM Conferences
      IVA '22: Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents
      September 2022
      234 pages
      ISBN:9781450392488
      DOI:10.1145/3514197
      • General Chairs:
      • Carlos Martinho,
      • João Dias,
      • Program Chairs:
      • Joana Campos,
      • Dirk Heylen
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      New York, NY, United States

      Publication History

      Published: 06 September 2022

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      Author Tags

      1. AI agent
      2. board game
      3. human-likeness
      4. othello

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      IVA '22
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      IVA '22 Paper Acceptance Rate 21 of 51 submissions, 41%;
      Overall Acceptance Rate 53 of 196 submissions, 27%

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