Design with shape grammars and reinforcement learning
Copyright policy )Design with shape grammars and reinforcement learning
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.
La publicación recoge los resultados del proyecto “Nuevas Técnicas Inteligentes de Decisión Aplicada al Proyecto Arquitectónico” (TIN2009-14179, Gobierno de España)
Política de acceso abierto tomada de: https://v2.sherpa.ac.uk/id/publication/1733
- University of Malaga Spain
Computational design, Reinforcement learning, Architecture, Shape grammars, Diseño asistido por ordenador, Arquitectura - Estudio y enseñanza superior - Innovaciones tecnológicas, 620, 004
Computational design, Reinforcement learning, Architecture, Shape grammars, Diseño asistido por ordenador, Arquitectura - Estudio y enseñanza superior - Innovaciones tecnológicas, 620, 004
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