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Authors: Mauro Vallati and Thomas Leo Mccluskey

Affiliation: School of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield, U.K.

Keyword(s): Automated Planning, Domain Models, Knowledge Engineering, Quality of Models.

Abstract: Automated planning is a prominent Artificial Intelligence challenge, as well as a requirement for intelligent autonomous agents. A crucial aspect of automated planning is the knowledge model, that includes the relevant aspects of the application domain and of a problem instance to be solved. Despite the fact that the quality of the model has a strong influence on the resulting planning application, the notion of quality for automated planning knowledge models is not well understood, and the engineering process in building such models is still mainly an ad-hoc process. In order to develop systematic processes that support a more comprehensive notion of quality, this paper, building on existing frameworks proposed for general conceptual models, introduces a quality framework specifically focused on automated planning knowledge models.

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Paper citation in several formats:
Vallati, M. and Mccluskey, T. (2021). A Quality Framework for Automated Planning Knowledge Models. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 635-644. DOI: 10.5220/0010216806350644

@conference{icaart21,
author={Mauro Vallati. and Thomas Leo Mccluskey.},
title={A Quality Framework for Automated Planning Knowledge Models},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2021},
pages={635-644},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010216806350644},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - A Quality Framework for Automated Planning Knowledge Models
SN - 978-989-758-484-8
IS - 2184-433X
AU - Vallati, M.
AU - Mccluskey, T.
PY - 2021
SP - 635
EP - 644
DO - 10.5220/0010216806350644
PB - SciTePress

- Science and Technology Publications, Lda.
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