Collective Construction Modeling and Machine Learning: Potential for Architectural Design

Document Type

Conference Proceeding

Publication Date

1-1-2017

Abstract

Recently, there are significant developments in artificial intelligence using advanced machine learning algorithms such as deep neural networks. These new methods can defeat human expert players in strategy-based board games such as Go and video games such as Breakout. This paper suggests a way to incorporate such advanced computing methods into architectural design through introducing a simple conceptual design project inspired by computational interpretations of wasps' collective constructions. At this stage, the paper's intent is not to introduce a practical and fully finished tool directly useful for architectural design. Instead, the paper proposes an example of a program that can potentially become a conceptual framework for incorporating such advanced methods into architectural design.

Identifier

85101128705 (Scopus)

ISBN

[9789491207129]

Publication Title

Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe

ISSN

26841843

First Page

593

Last Page

600

Volume

1

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