A theory of diagnosis from first principles
Artificial Intelligence
A correction to the algorithm in Reiter's theory of diagnosis
Artificial Intelligence
Partial constraint satisfaction
Artificial Intelligence - Special volume on constraint-based reasoning
Minimizing conflicts: a heuristic repair method for constraint satisfaction and scheduling problems
Artificial Intelligence - Special volume on constraint-based reasoning
Adding a collaborative agent to graphical user interfaces
Proceedings of the 9th annual ACM symposium on User interface software and technology
Configuring Large Systems Using Generative Constraint Satisfaction
IEEE Intelligent Systems
Consistency-based diagnosis of configuration knowledge bases
Artificial Intelligence
Diagnosing and solving over-determined constraint satisfaction problems
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Product platform design and customization: Status and promise
Artificial Intelligence for Engineering Design, Analysis and Manufacturing - SPECIAL ISSUE: Platform product development for mass customization
Evaluating variability instantiation strategies for product lines
Proceedings of the 5th Workshop on Variability Modeling of Software-Intensive Systems
A constraint satisfaction approach to resolving product configuration conflicts
Advanced Engineering Informatics
A qualitative study on user guidance capabilities in product configuration tools
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
WeCoTin --A practical logic-based sales configurator
AI Communications - Intelligent Engineering Techniques for Knowledge Bases
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Mass customization of configurable products made knowledge-based (and web-based) product configuration systems an important tool to support the sales engineer or end user when configuring systems according to the customer's needs. Configuration problems are often modeled as Constraint Satisfaction Problems, where the configuration process is an interactive search process. During this search process, the user may encounter situations, where a path in the search tree is reached, where no solution can be found. In this paper we show how model-based diagnosis techniques can be employed to assist the user to recover from such situations by calculating adequate (or optimal) reconfiguration or recovery actions.