论文标题

可解释的AI计划和决策的新兴景观

The Emerging Landscape of Explainable AI Planning and Decision Making

论文作者

Chakraborti, Tathagata, Sreedharan, Sarath, Kambhampati, Subbarao

论文摘要

在本文中,我们提供了可解释的AI规划(XAIP)中不同工作线索的全面概述,该计划在过去几年中已成为焦点区域,并与该领域的早期努力在技术,目标用户和交付机制方面进行了对比。我们希望这项调查将为新研究人员提供自动化计划的指导,以在有效设计人类绿色系统中的有效设计中的作用,并为既定的研究人员提供有关令人兴奋的可解释规划世界的演变的一些观点。

In this paper, we provide a comprehensive outline of the different threads of work in Explainable AI Planning (XAIP) that has emerged as a focus area in the last couple of years and contrast that with earlier efforts in the field in terms of techniques, target users, and delivery mechanisms. We hope that the survey will provide guidance to new researchers in automated planning towards the role of explanations in the effective design of human-in-the-loop systems, as well as provide the established researcher with some perspective on the evolution of the exciting world of explainable planning.

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