Scalable BDI-based Multi-Agent System for Digital Design Reviews

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dc.identifier.uri http://dx.doi.org/10.15488/16870
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/16997
dc.contributor.author Plappert, Stefan
dc.contributor.author Becker, Christian
dc.contributor.author Gembarski, Paul Christoph
dc.contributor.author Lachmayer, Roland
dc.contributor.editor Hawlett, Robert
dc.date.accessioned 2024-04-03T08:42:10Z
dc.date.available 2024-04-03T08:42:10Z
dc.date.issued 2023
dc.identifier.citation Plappert, S.; Becker, C.; Gembarski, P.C.; Lachmayer, R.: Scalable BDI-based Multi-Agent System for Digital Design Reviews. In: Hawlett, Robert (Ed.): 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023). Amsterdam [u.a.] : Elsevier, 2023 (Procedia Computer Science ; 225), S. 3593-3602. DOI: https://doi.org/10.1016/j.procs.2023.10.354
dc.description.abstract The increasing complexity in product development and the lack of knowledge exchange, for example, between development and manufacturing lead to unnecessary iteration loops and high costs. To overcome this situation, an option is the execution of a design review using multi-agent systems to provide designers with a digital assistance system for checking their CAD (computer-aided design) models regarding manufacturability using a milling process. This paper explores how to increase the scalability and robustness of multi-agent systems (MAS) for manufacturability assessment by using runtime-generated BDI (belief-desire-intention) agents and graph-based feature recognition. The applicability and validation of the presented approach is carried out by evaluating different milled part designs. eng
dc.language.iso eng
dc.publisher Amsterdam [u.a.] : Elsevier
dc.relation.ispartof 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023)
dc.relation.ispartofseries Procedia Computer Science ; 225
dc.rights CC BY-NC-ND 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject computer-aided design eng
dc.subject digital design review eng
dc.subject graph-based feature recognition eng
dc.subject multi-agent systems eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 004 | Informatik
dc.title Scalable BDI-based Multi-Agent System for Digital Design Reviews eng
dc.type BookPart
dc.type Text
dc.relation.essn 1877-0509
dc.relation.issn 1877-0509
dc.relation.doi https://doi.org/10.1016/j.procs.2023.10.354
dc.bibliographicCitation.volume 225
dc.bibliographicCitation.firstPage 3593
dc.bibliographicCitation.lastPage 3602
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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