Design knowledge acquisition: task analysis and a partial implementation

Abstract Design is conceptualized as an ill-structured process that requires diverse knowledge that is hard to acquire. Systematic analysis of design and the knowledge requirements it has in general and in the context of bridge design, shows that the knowledge needed can be semi-automatically acquired by using machine learning techniques. Although there are limitations to the approach, preliminary results in the bridge design domain are promising and can potentially transfer to other design domains.

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