Social Computational Design Method for Generating Product Shapes with GAN and Transformer Models
This method addresses the need for automated and intelligent design processes in product development, though it appears incremental as it combines existing AI techniques.
The authors tackled the problem of intelligent product design by establishing a social computational design method that integrates multiple AI technologies to generate design solutions from incomplete inputs, demonstrating it on product shape design.
A social computational design method is established, aiming at taking advantages of the fast-developing artificial intelligence technologies for intelligent product design. Supported with multi-agent system, shape grammar, Generative adversarial network, Bayesian network, Transformer, etc., the method is able to define the design solution space, prepare training samples, and eventually acquire an intelligent model that can recommend design solutions according to incomplete solutions for given design tasks. Product shape design is used as entry point to demonstrate the method, however, the method can be applied to tasks rather than shape design when the solutions can be properly coded.