首页 | 本学科首页   官方微博 | 高级检索  
     


Design with shape grammars and reinforcement learning
Authors:Manuela Ruiz-Montiel  Javier Boned  Juan Gavilanes  Eduardo Jiménez  Lawrence Mandow  José-Luis Pérez-de-la-Cruz
Affiliation:1. Escuela Técnica Superior de Ingenier?´a Informática, Bulevar Louis Pasteur, No. 35, Campus de Teatinos, Universidad de Málaga, 29071 Málaga, Spain;2. Escuela Técnica Superior de Arquitectura, Campus de El Ejido, Universidad de Málaga, 29071 Málaga, Spain
Abstract:Shape grammars are a powerful and appealing formalism for automatic shape generation in computer-based design systems. This paper presents a proposal complementing the generative power of shape grammars with reinforcement learning techniques. We use simple (naive) shape grammars capable of generating a large variety of different designs. In order to generate those designs that comply with given design requirements, the grammar is subject to a process of machine learning using reinforcement learning techniques. Based on this method, we have developed a system for architectural design, aimed at generating two-dimensional layout schemes of single-family housing units. Using relatively simple grammar rules, we learn to generate schemes that satisfy a set of requirements stated in a design guideline. Obtained results are presented and discussed.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号