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Management of conflict for preliminary engineering design tasks

Published online by Cambridge University Press:  27 February 2009

Djamila Haroud ,
Sylvie Boulanger ,
Esther Gelle  and
Ian Smith
Djamila Haroud
Affiliation:
Artificial Intelligence Laboratory (LIA)
Sylvie Boulanger
Affiliation:
ICOM (Steel Structures), Swiss Federal Institute of Technology (EPFL), IN-Ecublens, 1015 Lausanne, Switzerland
Esther Gelle
Affiliation:
Artificial Intelligence Laboratory (LIA)
Ian Smith
Affiliation:
Artificial Intelligence Laboratory (LIA)
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Abstract

Much of preliminary engineering design is a constraint-driven non-monotonic exploration process. Initial decisions are made when information is incomplete and many goals are contradictory. Such conditions are present regardless of whether one or several designers contribute to designs. This paper presents an approach for supporting decisions in situations of incomplete and conflicting knowledge. In particular, we use assumptions and conflict management to achieve efficient search in contexts where little reliable information exists. A knowledge representation, containing a semantic differentiation between two types of assumptions, is used within a computational model based on the dynamic constraint satisfaction paradigm. Conflict management strategies consist of three generic mechanisms adapted to the type of constraints involved. These strategies may be refined through consideration of variable importance, context, and design inertia.

Keywords

Conflict Resolution StrategiesDynamic Constraint SatisfactionPreference and Default Assumptions
Type
Articles
Information
AI EDAM , Volume 9 , Issue 4 , September 1995 , pp. 313 - 323
Copyright
Copyright © Cambridge University Press 1995

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References

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