文章基本信息

标题：Social Computational Design Method for Generating Product Shapes with GAN and Transformer Models
本地全文：下载
作者：Maolin Yang ; Tianshuo Zang ; Pingyu Jiang 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：10
页码：281-286
DOI：10.1016/j.ifacol.2022.09.401
语种：English
出版社：Elsevier
摘要：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.
关键词：social computational design;generative design;computational design;product shape design