Automatic Processing of Planning Problems: Application on Representative Case Studies

Sabrine Ammar; Taoufik Sakka Rouis; Mohamed Tahar Bhiri; Walid Gaaloul

doi:10.1007/978-3-031-16210-7_36

Automatic Processing of Planning Problems: Application on Representative Case Studies

Sabrine Ammar
, Taoufik Sakka Rouis
, Mohamed Tahar Bhiri
, Walid Gaaloul

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Automatic planning is a full-fledged discipline in artificial intelligence. It allows describing and solving planning problems in many fields such as robotics, project management, internet navigation, crisis management, logistics and games. The PDDL language, planners and validators associated with this language allow the description, resolution and validation of planning problems. In this paper, we recommend a formal process based on the PDDL language that favors the obtaining of reliable PDDL descriptions. Our process is successfully experimented on a set of representative case studies like the Hanoï Towers and the Sliding puzzle game.

Original language	English
Title of host publication	Advances in Computational Collective Intelligence - 14th International Conference, ICCCI 2022, Proceedings
Editors	Costin Bădică, Jan Treur, Djamal Benslimane, Bogumiła Hnatkowska, Marek Krótkiewicz
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	436-445
Number of pages	10
ISBN (Print)	9783031162091
DOIs	https://doi.org/10.1007/978-3-031-16210-7_36
Publication status	Published - 1 Jan 2022
Event	14th International Conference on Computational Collective Intelligence, ICCCI 2022 - Hammamet, Tunisia Duration: 28 Sept 2022 → 30 Sept 2022

Publication series

Name	Communications in Computer and Information Science
Volume	1653 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	14th International Conference on Computational Collective Intelligence, ICCCI 2022
Country/Territory	Tunisia
City	Hammamet
Period	28/09/22 → 30/09/22

Keywords

Automatic planning
Hanoï Towers
PDDL
Planning domain
Sliding puzzle game

Access to Document

10.1007/978-3-031-16210-7_36

Cite this

Ammar, S., Sakka Rouis, T., Bhiri, M. T., & Gaaloul, W. (2022). Automatic Processing of Planning Problems: Application on Representative Case Studies. In C. Bădică, J. Treur, D. Benslimane, B. Hnatkowska, & M. Krótkiewicz (Eds.), Advances in Computational Collective Intelligence - 14th International Conference, ICCCI 2022, Proceedings (pp. 436-445). (Communications in Computer and Information Science; Vol. 1653 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16210-7_36

Ammar, Sabrine ; Sakka Rouis, Taoufik ; Bhiri, Mohamed Tahar et al. / Automatic Processing of Planning Problems : Application on Representative Case Studies. Advances in Computational Collective Intelligence - 14th International Conference, ICCCI 2022, Proceedings. editor / Costin Bădică ; Jan Treur ; Djamal Benslimane ; Bogumiła Hnatkowska ; Marek Krótkiewicz. Springer Science and Business Media Deutschland GmbH, 2022. pp. 436-445 (Communications in Computer and Information Science).

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title = "Automatic Processing of Planning Problems: Application on Representative Case Studies",

abstract = "Automatic planning is a full-fledged discipline in artificial intelligence. It allows describing and solving planning problems in many fields such as robotics, project management, internet navigation, crisis management, logistics and games. The PDDL language, planners and validators associated with this language allow the description, resolution and validation of planning problems. In this paper, we recommend a formal process based on the PDDL language that favors the obtaining of reliable PDDL descriptions. Our process is successfully experimented on a set of representative case studies like the Hano{\"i} Towers and the Sliding puzzle game.",

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author = "Sabrine Ammar and \{Sakka Rouis\}, Taoufik and Bhiri, \{Mohamed Tahar\} and Walid Gaaloul",

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Ammar, S, Sakka Rouis, T, Bhiri, MT & Gaaloul, W 2022, Automatic Processing of Planning Problems: Application on Representative Case Studies. in C Bădică, J Treur, D Benslimane, B Hnatkowska & M Krótkiewicz (eds), Advances in Computational Collective Intelligence - 14th International Conference, ICCCI 2022, Proceedings. Communications in Computer and Information Science, vol. 1653 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 436-445, 14th International Conference on Computational Collective Intelligence, ICCCI 2022, Hammamet, Tunisia, 28/09/22. https://doi.org/10.1007/978-3-031-16210-7_36

Automatic Processing of Planning Problems: Application on Representative Case Studies. / Ammar, Sabrine; Sakka Rouis, Taoufik; Bhiri, Mohamed Tahar et al.
Advances in Computational Collective Intelligence - 14th International Conference, ICCCI 2022, Proceedings. ed. / Costin Bădică; Jan Treur; Djamal Benslimane; Bogumiła Hnatkowska; Marek Krótkiewicz. Springer Science and Business Media Deutschland GmbH, 2022. p. 436-445 (Communications in Computer and Information Science; Vol. 1653 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Automatic planning is a full-fledged discipline in artificial intelligence. It allows describing and solving planning problems in many fields such as robotics, project management, internet navigation, crisis management, logistics and games. The PDDL language, planners and validators associated with this language allow the description, resolution and validation of planning problems. In this paper, we recommend a formal process based on the PDDL language that favors the obtaining of reliable PDDL descriptions. Our process is successfully experimented on a set of representative case studies like the Hanoï Towers and the Sliding puzzle game.

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Ammar S, Sakka Rouis T, Bhiri MT, Gaaloul W. Automatic Processing of Planning Problems: Application on Representative Case Studies. In Bădică C, Treur J, Benslimane D, Hnatkowska B, Krótkiewicz M, editors, Advances in Computational Collective Intelligence - 14th International Conference, ICCCI 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 436-445. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-16210-7_36

Automatic Processing of Planning Problems: Application on Representative Case Studies

Abstract

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Keywords

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