Abstract
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.
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Mars, A., Grabska, E., Ślusarczyk, G., Strug, B. (2019). Graph-Based Knowledge Inference for Style-Directed Architectural Design. In: Pérez García, H., Sánchez González, L., Castejón Limas, M., Quintián Pardo, H., Corchado Rodríguez, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2019. Lecture Notes in Computer Science(), vol 11734. Springer, Cham. https://doi.org/10.1007/978-3-030-29859-3_34
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