Paper Info
Title
The Emerging Landscape of Explainable Automated Planning & Decision Making.
Abstract
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.
Year
DOI
Venue
2020
10.24963/ijcai.2020/669
IJCAI
DocType
Volume
Citations 
Conference
5
4
PageRank 
References 
Authors
0.41
0
3
Name
Order
Citations
PageRank
Tathagata Chakraborti19922.27
Sarath Sreedharan2309.83
Subbarao Kambhampati33453450.74