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Architectural Intelligence

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Cover of 'Architectural Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 What About Humans? Artificial Intelligence in Architecture
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    Chapter 3 An Architecture for Cyborg Super-Society
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    Chapter 4 Do Robots Dream of Digital Buildings?
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    Chapter 5 A Hybrid Creativity in Architecture: From Brain Plasticity to Augmented Design Intelligence
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    Chapter 6 Toward a Collaborative Robotic Platform: FUROBOT
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    Chapter 7 Interdisciplinary AI: A Machine Learning System for Streamlining External Aesthetic and Cultural Influences in Architecture
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    Chapter 8 ArchiGAN: Artificial Intelligence x Architecture
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    Chapter 9 Advanced Timber Construction Platform Multi-Robot System for Timber Structure Design and Prefabrication
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    Chapter 10 Bioinspired Generative Architectural Design Form-Finding and Advanced Robotic Fabrication Based on Structural Performance
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    Chapter 11 A Question of Style
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    Chapter 12 Day–Night Scene Transfer for Architectural Renderings Based on Color Transfer Approaches
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    Chapter 13 Form Finding and Evaluating Through Machine Learning: The Prediction of Personal Design Preference in Polyhedral Structures
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    Chapter 14 Comparison of BESO and SIMP to Do Structural Topology Optimization in Discrete Digital Design, and then Combine Them into a Hybrid Method
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    Chapter 15 Emotional Intelligence: Affective Computing in Architecture and Design
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    Chapter 16 Designing an Architectural Robot: An Actuated Active Transforming Structure Using Face Detection
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    Chapter 17 CoFabs: An Interactive Fabrication Process Framework
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    Chapter 18 3d-Printed Bending-Active Formwork for Shell Structures
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    Chapter 19 A Computational Approach for Knitting 3D Composites Preforms
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Citations

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Title
Architectural Intelligence
Published by
Springer Singapore, November 2020
DOI 10.1007/978-981-15-6568-7
ISBNs
978-9-81-156567-0, 978-9-81-156568-7
Editors

Yuan, Philip F., Xie, Mike, Leach, Neil, Yao, Jiawei, Wang, Xiang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 24%
Student > Doctoral Student 4 14%
Student > Ph. D. Student 4 14%
Student > Bachelor 1 3%
Lecturer 1 3%
Other 1 3%
Unknown 11 38%
Readers by discipline Count As %
Design 6 21%
Engineering 6 21%
Arts and Humanities 2 7%
Social Sciences 1 3%
Nursing and Health Professions 1 3%
Other 2 7%
Unknown 11 38%