Belief Representation of Design Mental Model Based on Design Rationale

Ignoring the designers' belief in the collaborative design process will lead to imperfect characterization of design information, and affect information sharing of collaborative designs, thus make the design inefficient. In order to solve this problem, this paper presents a belief representation method of designing a mental model based on Design Rationale. First, through the logic narration of designers, on the basis of the DR model, the knowledge semantic network is constructed based on the Bayesian Network. Then, the causality in the Bayesian Network is obtained by means of node conversion. Finally, the belief in designing mental models is calculated by reusing the design rationality for parameter learning. An example of cantilever beam structure design is used to verify the accuracy and effectiveness of the proposed method.