@inproceedings{13e0de1a07514759b5bb83e05ad650ea,
title = "Collective Construction Modeling and Machine Learning: Potential for Architectural Design",
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.",
keywords = "Design tools, Machine learning, Stigmergy",
author = "Taro Narahara",
note = "Publisher Copyright: {\textcopyright} 2017, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.; 35th International Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2017 ; Conference date: 20-09-2017 Through 22-09-2017",
year = "2017",
language = "English (US)",
isbn = "9789491207129",
series = "Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe",
publisher = "Education and research in Computer Aided Architectural Design in Europe",
pages = "593--600",
editor = "Antonio Fioravanti and Stefano Cursi and Salma Elahmar and Silvia Gargaro and Gianluigi Loffreda and Gabriele Novembri and Armando Trento",
booktitle = "Shock - Sharing of Computable Knowledge",
}