A Quality Framework for Automated Planning Knowledge Models

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.
Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Agents and Artificial Intelligence
Subtitle of host publicationICAART 2021
EditorsAna Paula Rocha, Luc Steels, H. Jaap van den Herik
PublisherSciTePress
Pages635-644
Number of pages10
Volume2
ISBN (Electronic)9789897584848
DOIs
Publication statusPublished - 19 Apr 2021
Event13th International Conference on Agents and Artificial Intelligence - Online due to COVID-19
Duration: 4 Feb 20216 Feb 2021
Conference number: 13
http://www.icaart.org/Home.aspx

Conference

Conference13th International Conference on Agents and Artificial Intelligence
Abbreviated titleICAART 2021
Period4/02/216/02/21
Internet address

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