@inproceedings{829ebec19a1b4968bf72c2441a31d9f5,
title = "Active Goal Recognition Design",
abstract = "In Goal Recognition Design (GRD), the objective is to modify a domain to facilitate early detection of the goal of a subject agent. Most previous work studies this problem in the offline setting, in which the observing agent performs its interventions before the subject begins acting. In this paper, we generalize GRD to the online setting in which time passes and the observer's actions are interleaved with those of the subject. We illustrate weaknesses of existing metrics for GRD and propose an alternative better suited to online settings. We provide a formal definition of this Active GRD (AGRD) problem and study an algorithm for solving it. AGRD occupies an interesting middle ground between passive goal recognition and strategic two-player game settings.",
author = "Gall, {Kevin C.} and Wheeler Ruml and Sarah Keren",
note = "Publisher Copyright: {\textcopyright} 2021 International Joint Conferences on Artificial Intelligence. All rights reserved.; 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 ; Conference date: 19-08-2021 Through 27-08-2021",
year = "2021",
language = "الإنجليزيّة",
series = "IJCAI International Joint Conference on Artificial Intelligence",
pages = "4062--4068",
editor = "Zhi-Hua Zhou",
booktitle = "Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021",
}