In Defence of Design Patterns for AI Planning Knowledge Models

Mauro Vallati; Thomas L. McCluskey

doi:10.1007/978-3-030-77091-4_12

In Defence of Design Patterns for AI Planning Knowledge Models

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

Abstract

Design patterns are widely used in various areas of computer science, the most notable example being software engineering. They have been introduced also for supporting the encoding of automated planning knowledge models, but up till now, with little success. In this paper, we investigate the merits of design patterns, as an example of the broader class of reusable abstractions, in the automated planning context; particularly, we aim at drawing attention to their potential usefulness for the explainability of domain-independent planning systems. Further, we argue that to foster the use of design patterns, there is a need for a centralised repository, and we describe the functionalities that such repository should provide to support knowledge engineers.

Original language	English
Title of host publication	AIxIA 2020 – Advances in Artificial Intelligence
Subtitle of host publication	XIXth International Conference of the Italian Association for Artificial Intelligence, Virtual Event, November 25–27, 2020, Revised Selected Papers
Editors	Matteo Baldoni, Stefania Bandini
Place of Publication	Cham
Publisher	Springer Nature Switzerland AG
Pages	191-203
Number of pages	13
Volume	LNCS/LNAI 12414
Edition	1st
ISBN (Electronic)	9783030770914
ISBN (Print)	9783030770907
DOIs	https://doi.org/10.1007/978-3-030-77091-4_12
Publication status	Published - 22 May 2021
Event	19th International Conference of the Italian Association for Artiﬁcial Intelligence - Virtual, Online Duration: 24 Nov 2020 → 27 Nov 2020 Conference number: 19

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Nature Switzerland AG
Volume	12414 LNCS/LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th International Conference of the Italian Association for Artiﬁcial Intelligence
Abbreviated title	AIxIA 2020
City	Virtual, Online
Period	24/11/20 → 27/11/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Vallati, M., & McCluskey, T. L. (2021). In Defence of Design Patterns for AI Planning Knowledge Models. In M. Baldoni, & S. Bandini (Eds.), AIxIA 2020 – Advances in Artificial Intelligence: XIXth International Conference of the Italian Association for Artificial Intelligence, Virtual Event, November 25–27, 2020, Revised Selected Papers (1st ed., Vol. LNCS/LNAI 12414, pp. 191-203). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12414 LNCS/LNAI). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-77091-4_12

Vallati, Mauro ; McCluskey, Thomas L. / In Defence of Design Patterns for AI Planning Knowledge Models. AIxIA 2020 – Advances in Artificial Intelligence: XIXth International Conference of the Italian Association for Artificial Intelligence, Virtual Event, November 25–27, 2020, Revised Selected Papers. editor / Matteo Baldoni ; Stefania Bandini. Vol. LNCS/LNAI 12414 1st. ed. Cham : Springer Nature Switzerland AG, 2021. pp. 191-203 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Vallati, M & McCluskey, TL 2021, In Defence of Design Patterns for AI Planning Knowledge Models. in M Baldoni & S Bandini (eds), AIxIA 2020 – Advances in Artificial Intelligence: XIXth International Conference of the Italian Association for Artificial Intelligence, Virtual Event, November 25–27, 2020, Revised Selected Papers. 1st edn, vol. LNCS/LNAI 12414, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12414 LNCS/LNAI, Springer Nature Switzerland AG, Cham, pp. 191-203, 19th International Conference of the Italian Association for Artiﬁcial Intelligence, Virtual, Online, 24/11/20. https://doi.org/10.1007/978-3-030-77091-4_12

In Defence of Design Patterns for AI Planning Knowledge Models. / Vallati, Mauro ; McCluskey, Thomas L.

AIxIA 2020 – Advances in Artificial Intelligence: XIXth International Conference of the Italian Association for Artificial Intelligence, Virtual Event, November 25–27, 2020, Revised Selected Papers. ed. / Matteo Baldoni; Stefania Bandini. Vol. LNCS/LNAI 12414 1st. ed. Cham : Springer Nature Switzerland AG, 2021. p. 191-203 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12414 LNCS/LNAI).

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

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Vallati M , McCluskey TL. In Defence of Design Patterns for AI Planning Knowledge Models. In Baldoni M, Bandini S, editors, AIxIA 2020 – Advances in Artificial Intelligence: XIXth International Conference of the Italian Association for Artificial Intelligence, Virtual Event, November 25–27, 2020, Revised Selected Papers. 1st ed. Vol. LNCS/LNAI 12414. Cham: Springer Nature Switzerland AG. 2021. p. 191-203. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2021 May 22. doi: 10.1007/978-3-030-77091-4_12

In Defence of Design Patterns for AI Planning Knowledge Models

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