CONTINUAL HTN PLANNING AND ACTING IN OPEN-ENDED DOMAINS - Considering Knowledge Acquisition Opportunities

Dominik Off, Jianwei Zhang

2012

Abstract

Generating plans in order to perform high-level tasks is difficult for agents that act in open-ended domains where it is unreasonable to assume that all necessary information is available a priori. This paper addresses this challenge by presenting a planning-based control system that is able to perform tasks in open-ended domains. The control system is based on a new HTN planning approach that additionally considers decompositions that would be applicable with respect to a consistent extension of the domain model at hand. The proposed control system constitutes a continual planning and acting system that interleaves planning and acting so that missing information can be acquired by means of active information gathering. Experimental results demonstrate that this control architecture can perform tasks in several domains even if the agent initially has no factual knowledge.

Paper Citation

in Harvard Style

Off D. and Zhang J. (2012). CONTINUAL HTN PLANNING AND ACTING IN OPEN-ENDED DOMAINS - Considering Knowledge Acquisition Opportunities . In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-95-9, pages 16-25. DOI: 10.5220/0003704500160025

in Bibtex Style

@conference{icaart12,
author={Dominik Off and Jianwei Zhang},
title={CONTINUAL HTN PLANNING AND ACTING IN OPEN-ENDED DOMAINS - Considering Knowledge Acquisition Opportunities},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2012},
pages={16-25},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003704500160025},
isbn={978-989-8425-95-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - CONTINUAL HTN PLANNING AND ACTING IN OPEN-ENDED DOMAINS - Considering Knowledge Acquisition Opportunities
SN - 978-989-8425-95-9
AU - Off D.
AU - Zhang J.
PY - 2012
SP - 16
EP - 25
DO - 10.5220/0003704500160025