论文标题
通过GAN和Transformer模型生成产品形状的社交计算设计方法
Social Computational Design Method for Generating Product Shapes with GAN and Transformer Models
论文作者
论文摘要
建立了一种社会计算设计方法，旨在利用智能产品设计的快速发展的人工智能技术的优势。在多代理系统，形状语法，生成对抗网络，贝叶斯网络，变压器等的支持下，该方法能够定义设计解决方案空间，准备培训样品，并最终获得一个智能模型，该模型可以根据给定设计任务的不完整解决方案推荐设计解决方案。产品形状设计用作演示该方法的切入点，但是，可以将解决方案正确编码时，可以应用于任务，而不是形状设计。
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.
