For the last twenty-five years, many AFR techniques have been proposed for recognising both simple and interacting features. Such techniques implement approaches based on rules or neural networks for example. However, the focus of the research efforts was on developing techniques for recognising features in the context of a particular manufacturing application, and especially for a range of machining processes. A true CAD/CAM integration requires the development of AFR systems that could be easily applied in different domains. For example, such a system could be used to assess the manufacturability of a given product or part with regard to various production processes. The objective of this research is to address knowledge acquisition issues associated with the development of AFR systems that could be employed in different application domains.