title: Modelling process knowledge in architectural design: A case-based approach creator: Arlati, Ezio creator: Bottelli, Valeria creator: Fogh, Christian creator: Tirassa, Maurizio subject: Cognitive Psychology subject: Artificial Intelligence description: The paper presents on-going research aimed at the understanding and support of process knowledge in architectural design, from early and not sufficiently defined, to satisfactorily-defined phases. Today, technical, planning, management and environmental issues have created a scenario of such complexity that traditionally efficient control tools (e.g. technical manuals) are inadequate and there is a demand for new, integrated instruments to handle the decision process underlying architectural design. We assume design as a recursive and incrementally specified intentional planning activity, involving goals, constraints and their relationships. The essence of architectural design is thus encapsulated in the continual recursive transformation of the initial model, in order to map the desired state onto the enacted one. On the basis of this concept of design we describe the model of an environment aimed at progressively representing the enlarging space of acquired knowledge, and at supporting the designer's central role in the management of complexity. date: 1995 type: Conference Paper type: PeerReviewed format: application/pdf identifier: http://cogprints.org/3555/1/1995-Design.pdf identifier: Arlati, Ezio and Bottelli, Valeria and Fogh, Christian and Tirassa, Maurizio (1995) Modelling process knowledge in architectural design: A case-based approach. [Conference Paper] relation: http://cogprints.org/3555/