論文

査読有り 国際誌
2022年8月24日

Algebraic Modeling of Trolley Problems on a Boolean Multivalued Logic

2022 4th International Conference on Industrial Artificial Intelligence (IAI)
  • Jiaqi Peng
  • ,
  • Rintaro Mizutani
  • ,
  • Kujira Suzuki
  • ,
  • Akira Midorikawa
  • ,
  • Hisashi Suzuki

開始ページ
1
終了ページ
6
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/iai55780.2022.9976864
出版者・発行元
IEEE

Instead of the well-known three laws of robotics that seem difficult to be applied to solving the trolley problems in the context of frame problems, this paper proposes algebraic modeling of the trolley problems on a Boolean multivalued logic so that we can analyze psychologically any knowledge simply by quasi-optimizing the truth values of logic formulae for inference in a class of Boolean algebra. Some simulation results suggest a possibility that, by introducing an atom that takes the truth values of directly killing person(s), we can control the utilitarian over-rationalization of sacrificing person(s) on AI machines.

リンク情報
DOI
https://doi.org/10.1109/iai55780.2022.9976864
URL
http://xplorestaging.ieee.org/ielx7/9976494/9976496/09976864.pdf?arnumber=9976864 本文へのリンクあり
ID情報
  • DOI : 10.1109/iai55780.2022.9976864

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