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Authors: Kamila Kotulska and Leszek Kotulski

Affiliation: AGH University of Science and Technology, Poland

Keyword(s): Shape Grammars, Graph Representation, Computational Model(s), Grammar, Computer-aided Conceptual Design.

Abstract: Shape grammars are a powerful, generative approach to description, interpretation and evaluation of many designs. However, their practical implementation has problems related to computational and spatial efficiency. Because of that, successful examples are restricted to small graphs or those with reduced numbers of rules and shapes. While executing a project inspired by Antonio Gaudi’s designs, we found those limitations critical and initiated a series of research tasks to improve of the efficiency of their implementation. The most important task consists in developing an efficient graph representation of the collinear segments. The proposed solution, based on a classical application of shape grammars – Stiny’s Chinese lattice design – has been compared with two most popular existing representations.

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Paper citation in several formats:
Kotulska, K. and Kotulski, L. (2017). On the Efficient Graph Representation of Collinear Relation in the Shape Grammars. In Proceedings of the International Conference on Computer-Human Interaction Research and Applications - CHIRA; ISBN 978-989-758-267-7; ISSN 2184-3244, SciTePress, pages 60-66. DOI: 10.5220/0006503800600066

@conference{chira17,
author={Kamila Kotulska. and Leszek Kotulski.},
title={On the Efficient Graph Representation of Collinear Relation in the Shape Grammars},
booktitle={Proceedings of the International Conference on Computer-Human Interaction Research and Applications - CHIRA},
year={2017},
pages={60-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006503800600066},
isbn={978-989-758-267-7},
issn={2184-3244},
}

TY - CONF

JO - Proceedings of the International Conference on Computer-Human Interaction Research and Applications - CHIRA
TI - On the Efficient Graph Representation of Collinear Relation in the Shape Grammars
SN - 978-989-758-267-7
IS - 2184-3244
AU - Kotulska, K.
AU - Kotulski, L.
PY - 2017
SP - 60
EP - 66
DO - 10.5220/0006503800600066
PB - SciTePress