Configuration is the task of composing product models of complex systems from parameterizable components in the mass-customization business model. This task demands for powerful knowledge-representation formalisms and acquisition methods to capture the great variety and complexity of configurable product models. Furthermore, efficient reasoning methods are required to provide intelligent interactive behavior in configurator software, such as solution search, satisfaction of user preferences, personalization, optimization, diagnosis, etc.
The main goal of the workshop is to promote high-quality research in all technical areas related to configuration. The workshop is of interest for both researchers working in the various fields of applicable AI technologies mentioned below as well as for industry representatives interested in the relationship between configuration technology and the business problem behind configuration and mass customization. It provides a forum for the exchange of ideas, evaluations and experiences especially in the use of AI techniques within these application and research areas.
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