A Survey on Goal Recognition as Planning
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Survey Track. Pages 4524-4532.
https://doi.org/10.24963/ijcai.2021/616
Keywords
- Planning and scheduling: General
- Agent-based and multi-agent based systems: General
Abstract
Goal Recognition is the task of inferring an agent's goal, from a set of hypotheses, given a model of the environment dynamic, and a sequence of observations of such agent's behavior. While research on this problem gathered momentum as an offshoot of plan recognition, recent research has established it as a major subject of research on its own, leading to numerous new approaches that both expand the expressivity of domains in which to perform goal recognition and substantial advances to the state-of-the-art on established domain types. In this survey, we focus on the advances to goal recognition achieved in the last decade, categorizing the resulting techniques and identifying a number of opportunities for further breakthrough research.
@inproceedings{ijcai2021p616,
title = {A Survey on Goal Recognition as Planning},
author = {Meneguzzi, Felipe and Fraga Pereira, Ramon},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {4524--4532},
year = {2021},
month = {8},
note = {Survey Track},
doi = {10.24963/ijcai.2021/616},
url = {https://doi.org/10.24963/ijcai.2021/616},
}
TY - CPAPER TI - A Survey on Goal Recognition as Planning AU - Meneguzzi, Felipe AU - Fraga Pereira, Ramon T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 4524 EP - 4532 DO - 10.24963/ijcai.2021/616 UR - https://doi.org/10.24963/ijcai.2021/616 ER -Copied
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