A blackboard architecture for control
Artificial Intelligence
Artificial Intelligence
Artificial Intelligence
Design problem solving: knowledge structures and control strategies
Design problem solving: knowledge structures and control strategies
Design by derivational analogy: issues in the automated replay of design plans
Machine learning: paradigms and methods
DICE: An object-oriented programming environment for cooperative engineering design
Artificial intelligence in engineering design (Volume III)
Supporting dynamic management in a multi-agent collaborative design system
Advances in Engineering Software
Supporting collaborative product design in an agent based environment
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Design and implementation of an agent-based collaborative product design system
Computers in Industry
Proceedings of the 2006 conference on Integrated Intelligent Systems for Engineering Design
Design Problems, Frames and Innovative Solutions
Proceedings of the 2009 conference on Design Problems, Frames and Innovative Solutions
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The development of a knowledge-based design support system is a lengthy and costly process because various computational techniques necessary for intelligent design support are not readily available in a knowledge-based environment. The systematisation of design knowledge needs combined efforts from designers and knowledge engineers. Existing knowledge-based system development tools offer limited support to intelligent design support which require sophisticated knowledge engineering techniques in terms of knowledge representation, inference, control, truth maintenance and learning. In this paper, a knowledge-based architecture for intelligent design support is described. The existing knowledge-based design system architectures are reviewed first. Five key issues in intelligent design support using knowledge engineering techniques, i.e. design knowledge representation, structure of design knowledge base, intelligent control of design process, consistency and context management of design knowledge, and modelling of design collaboration are then discussed. These discussions provide a basis for a description of a knowledge-based design support system architecture which has been implemented in a Lisp-based environment and tested in two different domains. Current application of this architecture in the development of a design support system in the domain of mechanical engineering design at the Cambridge Engineering Design Centre is presented and evaluated.