Publikation: Distributed Configuration as Distribute...

Stammdaten
Titel: Distributed Configuration as Distributed Dynamic Constraint Satisfaction
Untertitel:
Kurzfassung: Dynamic constraint satisfaction problem (DCSP) solving is one of the most important methods for solving various kinds of synthesis tasks, such as con½gu- ration. Todays con½gurators are standalone systems not supporting distributed con½guration problem solving functionality. However, supply chain integration of configurable products requires the integration of configuration systems of different manufacturers, which jointly offer product solutions to their customers. As a consequence, we need problem solving methods that enable the computation of such configurations by several distributed configuration agents. Therefore, one possibility is the extension of the configuration problem from a dynamic constraint satisfaction representation to distributed dynamic constraint satisfaction (DDCSP). In this paper we willcontribute to this challenge by formalizing the DDCSP and by presenting a complete and sound algorithm for solving distributed dynamic constraint satisfaction problems. This algorithm is based on asynchronous backtracking and enables strategies for exploiting conflicting re- quirements and design assumptions (i.e. learning additional constraints during search). The exploitation of these additional constraints is of particular interest for configuration because the generation and the exchange of conflicting design assumptions based on nogoods can be easilyintegrated in existing configuration systems
Schlagworte:
Publikationstyp: Beitrag in Sammelwerk (Autorenschaft)
Erscheinungsdatum: 2001 (Print)
Erschienen in: 14th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE)
14th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE)
zur Publikation
 ( Springer; L. Monostori, J. Vancza, M. Ali )
Titel der Serie: LNAI
Bandnummer: -
Erstveröffentlichung: Ja
Seite: S. 434 - 444

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Erscheinungsdatum: 2001
ISBN:
  • 3-540-42219-6
ISSN: -
Homepage: -

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Organisation Adresse
Fakultät für Technische Wissenschaften
  Institut für Artificial Intelligence und Cybersecurity
Universitätsstr. 65-67
A-9020 Klagenfurt
Österreich
  -993705
   aics-office@aau.at
https://www.aau.at/en/aics/
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Universitätsstr. 65-67
AT - A-9020  Klagenfurt

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  • Science to Science (Qualitätsindikator: n.a.)
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