Graph-Based Knowledge Inference for Style-Directed Architectural Design

• Agnieszka Mars ^[1] ; Ewa Grabska ^[1] ; Grażyna Ślusarczyk ^[1] ; Barbara Strug ^[1]
  1. [1] Jagiellonian University

     Jagiellonian University

     Kraków, Polonia

     
• Localización: Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings / coord. por Hilde Pérez García, Lidia Sánchez González, Manuel Castejón Limas, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, 2019, ISBN 978-3-030-29858-6, págs. 393-403
• Idioma: inglés
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  • This paper deals with style-oriented approach to computer aided architectural design. The generated 3D-models of architectural forms are composed of perceptual primitives determined on the basis of Biederman’s geons theory. The knowledge about the designed models is represented by the labelled graphs. In the provided CAD environment the designer selects and marks the model parts characterizing the considered style. Then the system infers subgraphs corresponding to these parts from graph representations of the models and encodes them into graph grammar rules. The additional graph grammar rules are constructed on the basis of creative design actions taken by the designer during the design process. The system supports the designer in his creative process by automatically generating graphs corresponding to new architectural forms in the desired style. The approach is illustrated by examples of designing objects in the Neoclassical style.