Design with shape grammars and reinforcement learning |
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Authors: | Manuela Ruiz-Montiel Javier Boned Juan Gavilanes Eduardo Jiménez Lawrence Mandow José-Luis Pérez-de-la-Cruz |
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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 |
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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. |
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