Supporting learning in a shared design environment
Design is a complex problem solving and knowledge refinement process. Learning is a part of this process that can improve computer based design support systems by using the knowledge representing the experience and expertise of designers. Learning from past design examples, and acquiring new knowledge during the process of design are closely related activities that must be supported by future computer supported design systems. This paper analyses the relation between design and learning activity to propose a learning model of design first. Then it presents the software architecture of a design agent with an inductive learning mechanism. Subsequently it introduces the knowledge representation and learning algorithms in a multi-agent design system. Finally, the paper examines the possible ways in which the proposed learning model and the software architecture can be placed in an industrial and engineering design context for developing application tools for design support.
design agent knowledge representation sharing learning