This book proposes a new critical relationship between computation and architecture, developing a history and theory of representation in architecture to understand and unleash potential means to open up creativity in the field.
Historically, architecture has led spatial representation. Today, computation has established new representational paradigms that can be compared to spatial representations, such as the revolution of perspective in the Renaissance. Architects now use software, robotics, and fabrication tools with very little understanding and participation in how these tools influence, revolutionize, and determine both architecture and its construction today. Why does the discipline of architecture not have a higher degree of authorship in the conception and development of computational technologies that define spatial representation? This book critically explores the relationship between history, theory and cultural criticism. Lorenzo-Eiroa positions new understandings through parallel historical sections and theories of many revolutionary representational architecture canons displaced by conventional spatial projection. He identifies the architects, artists, mathematicians, and philosophers that were able to revolutionise their disciplines through the development of new technologies, new systems of representation, and new lenses to understand reality. This book frames the discussion by addressing new means to understand and expand architecture authorship in relation to survey, information, representation, higher dimensional space, Big Data, and Artificial Intelligence - in the pursuit of activating an architecture of information.
This will be important reading for upper-level students and researchers of architecture and architectural theory, especially those with a keen interest in computational design and robotic fabrication.
This book proposes a new critical relationship between computation and architecture, developing a history and theory of representation in architecture to understand and unleash potential means to open up creativity in the field.
Introduction 1.SYSTEMS OF MEASUREMENT IDEALIZING AND DISPLACING HUMAN
PROPORTIONS
2. BRUNELLESCHIS PARAMETRIC ANALOG COMPUTATIONAL INTERFACE: FROM
A NEW MEDIA NORMALIZING VISUALIZATION TO INDEXING, DISPLACING, AND INNOVATING
IN REPRESENTATIO
3. PALLADIOS PARAMETRIC UNDECIDABILITY AS A CRITICAL
TOPOLOGICAL MODEL
4. BORROMINI'S TOPOLOGICAL MODEL DISPLACED BY RAINALDIs
AHISTORICAL SYNTHESIS: ARCHITECTS INDEXING, DISPLACING, AND INNOVATING IN
SPATIAL REPRESENTATION
5. LINGUISTIC AND VISUAL SEMIOTICS SIGNS AS SIGNIFIERS
ANTICIPATING AUTHORSHIP IN ARCHITECTURE
6. COMPUTATIONAL LINGUISTIC
SEMIOTICS: FROM MATHEMATICS, TO COMPUTATIONAL LANGUAGES GRAMMAR, TO MACHINE
LEARNING, TO SIGNIFIEDS IN NATURAL LANGUAGE PROCESSING (NLP), TO EMERGENT
PROGRAMMING
7. COMPUTATIONAL VISUAL SEMIOTICS: GRAMMATOLOGY DISPLACING
SIGNALS, SIGNS AND DIGITAL SIGNIFIERS FROM PIXELS TO POINT CLOUDS AND
PARTICLES ACTIVATING EMERGENT PROGRAMMING
8. DISPLACING ARTIFICIAL
ORIGINATION BY DIGITAL SIGNIFIERS FROM COMPUTATION TO AI
9. EXPANDING
DIMENSIONS IN SPATIAL REFERENCE AND REPRESENTATIONAL SYSTEMS TOWARDS A
MULTIDIMENSIONAL ARCHITECTURE OF INFORMATION: FROM TOPOLOGY, TO ARTIFICIAL
NEURAL NETWORKS, TO QUANTUM COMPUTING
10. COMPUTATIONAL INFORMATIONAL
SEMIOTICS: SIGNS AND SIGNALS IN MACHINES TO "DRAW" AND "BUILD" THROUGH DOUBLE
BIND ADVERSARIAL ROBOTIC FEEDBACK ACTUALIZATION
11. GAUDIS ANALOG
COMPUTATIONAL MODEL AS BACKPROPAGATION: FROM MATHEMATICAL MODELLING, TO BIG
DATA SURVEY, TO SIMULATION, TO AI
12. AI EMERGENT STRUCTURE THROUGH ROBOTIC
SIGNALS AS INFORMATION ACTUALIZATION
13. AI SYNTHETIC ENVIRONMENTS AS
SIMULATION-BASED INFORMATION ACTUALIZATION
14. POST-HUMAN PROJECT-SPECIFIC
AND SITE-SPECIFIC ROBOTIC SYSTEM
15. DECONSTRUCTING THE CITY THROUGH NEW
SIGNIFIERS: SIMULATION-BASED EMERGENT SPACE-ENVIRONMENTS
16. BIG DATA
POLITICS IN EMERGENT SPACE-ENVIRONMENTS: REZONING NEW YORK CITY THROUGH BIG
DATA, AI, and SIMULATION
17. THERMODYNAMIC BLOCKCHAIN ENVIRONMENTAL ENGINE:
TOWARDS POST-CAPITALIST UNIVERSAL SPACE-ENVIRONMENTS
18. BIG DATA REALISM AND
AI ABSTRACTION: POST-COLONIAL EMERGENT HISTORIES IN AUGMENTED SYNTHETIC
UNREAL ENVIRONMENTS
19. BIG DATA AI SIMULACRA WITHIN A REPRESENTATION
RESTRICTED REALITY (RRR): FROM PIRANESIS AHISTORIC ARCHEOLOGY, TO AN
URBANISM OF INFORMATION, TO A QUANTUM "AI" SIMULACRA
20. CONCLUSION:
EXPANDING AUTHORSHIP THROUGH an AHISTORIC CRITICAL ARCHITECTURE OF
INFORMATION AI
Pablo Lorenzo-Eiroa is the Founder of e-Architects.net, Director of the AI Lab, and Associate Professor at the New York Institute of Technology School of Architecture and Design. He co-edited Architecture In:Formation, Routledge, 2013.
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