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Link to original content: https://doi.org/10.5220/0010857100003116
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Authors: Saumya Bhatnagar 1 ; Sumit Mund 1 ; Enrico Scala 2 ; Keith McCabe 3 ; Thomas L. McCluskey 1 and Mauro Vallati 1

Affiliations: 1 School of Computing and Engineering, University of Huddersfield, U.K. ; 2 University of Brescia, Italy ; 3 Simplifai Systems Limited, U.K.

Keyword(s): Automated Planning, Knowledge Acquisition, Traffic Control.

Abstract: Automated planning is a prominent AI challenge, and it is now exploited in a range of real-world applications. There are three crucial aspects of automated planning: the planning engine, the domain model, and the problem instance. While the planning engine and the domain model can be engineered and optimised offline, in many applications there is the need to generate problem instances on the fly. In this paper we focus on the challenges of on-the-fly knowledge acquisition for complex and variegated problem instances. We consider as a case study the application of planning to urban traffic control and we describe the designed and developed knowledge acquisition process. This allows us to discuss a range of lessons learned from the experience, and to point to important lines of research to support the knowledge acquisition process for automated planning applications.

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Paper citation in several formats:
Bhatnagar, S. ; Mund, S. ; Scala, E. ; McCabe, K. ; McCluskey, T. and Vallati, M. (2022). On-the-Fly Knowledge Acquisition for Automated Planning Applications: Challenges and Lessons Learnt. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 387-397. DOI: 10.5220/0010857100003116

@conference{icaart22,
author={Saumya Bhatnagar and Sumit Mund and Enrico Scala and Keith McCabe and Thomas L. McCluskey and Mauro Vallati},
title={On-the-Fly Knowledge Acquisition for Automated Planning Applications: Challenges and Lessons Learnt},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2022},
pages={387-397},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010857100003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - On-the-Fly Knowledge Acquisition for Automated Planning Applications: Challenges and Lessons Learnt
SN - 978-989-758-547-0
IS - 2184-433X
AU - Bhatnagar, S.
AU - Mund, S.
AU - Scala, E.
AU - McCabe, K.
AU - McCluskey, T.
AU - Vallati, M.
PY - 2022
SP - 387
EP - 397
DO - 10.5220/0010857100003116
PB - SciTePress

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