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A social computational design method is established, aiming at takingadvantages of the fast-developing artificial intelligence technologies forintelligent product design. Supported with multi-agent system, shape grammar,Generative adversarial network, Bayesian network, Transformer, etc., the methodis able to define the design solution space, prepare training samples, andeventually acquire an intelligent model that can recommend design solutionsaccording to incomplete solutions for given design tasks. Product shape designis used as entry point to demonstrate the method, however, the method can beapplied to tasks rather than shape design when the solutions can be properlycoded.

Social Computational Design Method for Generating Product Shapes with GAN and Transformer Models