Configuration problems have been in the focus of AI for a long time. Different AI techniques have been applied for configuration problem solving: rule based approaches, object-oriented techniques, structural refinement, various grammars, resource based techniques, SW92, or constraint based ones - just to mention a few. Though there are quite a lot of applications, the real success of these approaches has been quite limited up to now. The main reason for this seems to be that each of these approaches reflects only certain aspects of configuration (more or less in an ad-hoc manner). What is missing is a comprehensive and well-formalized Alparadigm of configuration which would provide the foundation to integrate the different aspects in a well-defined way.