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Table of Contents
Intro
Preface
Contents
About the Editors
Part I Robotics and AI in Architecture
1 Implications of Robotics and AI in Architecture
References
2 Bioptemes and Mechy Max Systems: Topological Imaginations of Adaptive Architecture
2.1 Introduction
2.2 Fitting Shapes-Activity Graphs
2.3 Misfit Hierarchies-Trees, Cascades, and Networks
2.4 Evolutionary Fit-Entailment Meshes
2.5 Conclusion
References
3 How Do We Want to Interact with Robotic Environments? User Preferences for Embodied Interactions from Pushbuttons to AI
3.1 Introduction
3.2 Related Work
Computer-Supported Cooperative Work
Robots that Work with Humans
Architectural Robotics
Shape-Changing Interfaces
3.3 Continuum Robot Surface Prototype
3.4 Physical Prototype In-Lab Study
Study Design
Procedure: Step-by-Step Study Protocol and Interview Questions
Qualitative Data Analysis and Results
3.5 Findings and Discussion
Insights for Robot Surface Interaction Design
Future Research
3.6 Conclusion
References
4 Design-to-Robotic-Production and -Operation for Activating Bio-Cyber-Physical Environments
4.1 Urban Context
4.2 Design-to-Robotic-Production and -Operation
D2RP
D2RO
Interaction Scenarios
Scaling up Scenarios
4.3 Discussion
References
5 Data-Driven Urban Design: Conceptual and Methodological Constructs for People-Oriented Public Spaces
5.1 Introduction
5.2 The Architecture Machine
5.3 Public Space, Urban Analytics and Placemaking
5.4 Experiments in Generative Urban Design and Placemaking
5.5 Current Research into Data-Driven Urban Place Studies
Environment Scanning
Pedestrian Data Collection
Pedestrian Tracking and Path Analysis
People Location Analysis
5.6 Discussion
Data-Driven Design Policies
Data-Driven Design Systems
Critical and Ethical Considerations Around Data-Driven Urban Design
5.7 Conclusions
References
Part II Architectural Intelligence, Machine and Human Learning
6 Architectural Intelligence, Machine, and Human Learning
References
7 Architectural Knowledge and Learning Algorithms
7.1 Introduction
7.2 Prosthetics
7.3 Architectural Computations: Perspective Machines and Code
7.4 Cryptographic Computation
7.5 Cyphers
7.6 Cyphers and Spatial Design
7.7 Conclusions
References
8 On Legibility: Machine Readable Architecture
8.1 Introduction
8.2 Machine Readability
8.3 Architectural Readability
8.4 Measuring Architectural Language
8.5 Temporary States of Matter
8.6 Figuring Out Form
References
9 Where is Reality? Can You Show It to Me? Constructing Artificial Agency
9.1 Introduction
10 From Disruptions in Architectural Pedagogy to Disruptive Pedagogies for Architecture
10.1 Introduction
10.2 Disruption #1: The Architecture School
From the Centrally Located School to Deschooled Centers
Preface
Contents
About the Editors
Part I Robotics and AI in Architecture
1 Implications of Robotics and AI in Architecture
References
2 Bioptemes and Mechy Max Systems: Topological Imaginations of Adaptive Architecture
2.1 Introduction
2.2 Fitting Shapes-Activity Graphs
2.3 Misfit Hierarchies-Trees, Cascades, and Networks
2.4 Evolutionary Fit-Entailment Meshes
2.5 Conclusion
References
3 How Do We Want to Interact with Robotic Environments? User Preferences for Embodied Interactions from Pushbuttons to AI
3.1 Introduction
3.2 Related Work
Computer-Supported Cooperative Work
Robots that Work with Humans
Architectural Robotics
Shape-Changing Interfaces
3.3 Continuum Robot Surface Prototype
3.4 Physical Prototype In-Lab Study
Study Design
Procedure: Step-by-Step Study Protocol and Interview Questions
Qualitative Data Analysis and Results
3.5 Findings and Discussion
Insights for Robot Surface Interaction Design
Future Research
3.6 Conclusion
References
4 Design-to-Robotic-Production and -Operation for Activating Bio-Cyber-Physical Environments
4.1 Urban Context
4.2 Design-to-Robotic-Production and -Operation
D2RP
D2RO
Interaction Scenarios
Scaling up Scenarios
4.3 Discussion
References
5 Data-Driven Urban Design: Conceptual and Methodological Constructs for People-Oriented Public Spaces
5.1 Introduction
5.2 The Architecture Machine
5.3 Public Space, Urban Analytics and Placemaking
5.4 Experiments in Generative Urban Design and Placemaking
5.5 Current Research into Data-Driven Urban Place Studies
Environment Scanning
Pedestrian Data Collection
Pedestrian Tracking and Path Analysis
People Location Analysis
5.6 Discussion
Data-Driven Design Policies
Data-Driven Design Systems
Critical and Ethical Considerations Around Data-Driven Urban Design
5.7 Conclusions
References
Part II Architectural Intelligence, Machine and Human Learning
6 Architectural Intelligence, Machine, and Human Learning
References
7 Architectural Knowledge and Learning Algorithms
7.1 Introduction
7.2 Prosthetics
7.3 Architectural Computations: Perspective Machines and Code
7.4 Cryptographic Computation
7.5 Cyphers
7.6 Cyphers and Spatial Design
7.7 Conclusions
References
8 On Legibility: Machine Readable Architecture
8.1 Introduction
8.2 Machine Readability
8.3 Architectural Readability
8.4 Measuring Architectural Language
8.5 Temporary States of Matter
8.6 Figuring Out Form
References
9 Where is Reality? Can You Show It to Me? Constructing Artificial Agency
9.1 Introduction
10 From Disruptions in Architectural Pedagogy to Disruptive Pedagogies for Architecture
10.1 Introduction
10.2 Disruption #1: The Architecture School
From the Centrally Located School to Deschooled Centers