BriefGPT.xyz
Oct, 2024
责任归属和预期的计算基础研究
Computational Grounding of Responsibility Attribution and Anticipation in LTLf
HTML
PDF
Giuseppe De Giacomo, Emiliano Lorini, Timothy Parker, Gianmarco Parretti
TL;DR
本文研究了在战略环境中基于LTLf的责任不同变体,填补了机器伦理和自主系统领域中的空白。通过将责任概念与反应合成中的相关理论相联系,提出了计算基本保障的框架,涵盖复杂性特征以及归属和预期责任的可靠、完整和最优算法。此研究有助于推进责任归属的自动化过程,带来重要影响。
Abstract
Responsibility
is one of the key notions in
Machine Ethics
and in the area of
Autonomous Systems
. It is a multi-faceted notion involving c
→