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Authors: Fusun Yaman 1 ; Thomas Eskridge 2 ; Ron Scott 1 ; Li Lin 1 ; Jeff Miller 1 and Daniel Carpenter 3

Affiliations: 1 BBN Technologies, Cambridge, MA, U.S.A. ; 2 L3Harris Institute for Assured Information, Florida Institute of Technology, Melbourne, FL, U.S.A. ; 3 Air Force Research Laboratory, U.S.A.

Keyword(s): Planning, Scheduling, User Preference.

Abstract: Automated planning tools play a large and expanding role in the function of many parts of our lives. The complex nature of the planning problem and the increasing amount of information the human planner must synthesize indicate that assistive automation must soon become the norm. Despite this, many existing automated planners are incapable of producing plans that reflect the desires and expertise of their operators. They do not have the direct ability to consider the operators’ priorities, nor can they exploit expert operational knowledge that comes from human experience and not data systems. In this paper we present methods to learn operator planning preferences and then nudge our automated logistic planner to produce plans that are better aligned with operator preferences without changing the code of the planner.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Yaman, F.; Eskridge, T.; Scott, R.; Lin, L.; Miller, J. and Carpenter, D. (2024). Nudging Automated Planners with Learned User Preferences. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 958-964. DOI: 10.5220/0012423600003636

@conference{icaart24,
author={Fusun Yaman. and Thomas Eskridge. and Ron Scott. and Li Lin. and Jeff Miller. and Daniel Carpenter.},
title={Nudging Automated Planners with Learned User Preferences},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={958-964},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012423600003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Nudging Automated Planners with Learned User Preferences
SN - 978-989-758-680-4
IS - 2184-433X
AU - Yaman, F.
AU - Eskridge, T.
AU - Scott, R.
AU - Lin, L.
AU - Miller, J.
AU - Carpenter, D.
PY - 2024
SP - 958
EP - 964
DO - 10.5220/0012423600003636
PB - SciTePress

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