Digital Signifiers in an Architecture of Information
From Big Data, Simulation to Artificial Intelligence
- Available for pre-order on May 11, 2023. Item will ship after June 1, 2023
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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.
Table of Contents
Introduction Section 1: Representation 1.SYSTEMS OF MEASUREMENT IDEALIZING AND DISPLACING HUMAN PROPORTIONS 2. BRUNELLESCHI’S PARAMETRIC ANALOG COMPUTATIONAL INTERFACE: FROM A NEW MEDIA NORMALIZING VISUALIZATION TO INDEXING, DISPLACING, AND INNOVATING IN REPRESENTATIO 3. PALLADIO’S PARAMETRIC UNDECIDABILITY AS A CRITICAL TOPOLOGICAL MODEL 4. BORROMINI TOPOLOGICAL MODEL DISPLACED BY RAINALDI’s AHISTORICAL SYNTHESIS: ARCHITECTS INDEXING, DISPLACING, AND INNOVATING IN SPATIAL REPRESENTATION Section II: Semiotics 5. LINGUISTIC AND VISUAL SEMIOTICS SIGNS AS SIGNIFIERS ANTICIPATING AUTHORSHIP IN ARCHITECTURE 6. AI COMPUTATIONAL LINGUISTIC SEMIOTICS: FROM MATHEMATICS AS SEMIOTICS, TO COMPUTATIONAL LANGUAGES GRAMMAR, TO MACHINE LEARNING, TO SIGNIFIEDS IN NATURAL LANGUAGE PROCESSING (NLP), TO EMERGENT PROGRAMMING 7. AI COMPUTATIONAL VISUAL SEMIOTICS GRAMMATOLOGY: DISPLACING SIGNALS, SIGNS AND DIGITAL SIGNIFIERS ACTIVATING EMERGENT NON-LINGUISTIC AI PROGRAMMING 8. DISPLACING ARTIFICIAL ORIGINATION BY DIGITAL SIGNIFIERS FROM COMPUTATION TO AI Section III: Dimensionality 9. EXPANDING DIMENSIONS IN SPATIAL REFERENCE AND REPRESENTATIONAL SYSTEMS TOWARDS A MULTIDIMENSIONAL ARCHITECTURE OF INFORMATION: FROM TOPOLOGY, TO ARTIFICIAL NEURAL NETWORKS, TO QUANTUM COMPUTING Section IV: Actualization 10. EXPANDING INFORMATION SIGNS AND SIGNALS BETWEEN COMPUTATIONAL MODELS, AI FRAMEWORKS AND ACTUALIZATIONS 11. GAUDI’S 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 Section V: Simulation 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. BLOCKCHAIN URBAN AI FRAMEWORK: TOWARDS POST-CAPITALIST UNIVERSAL SPACE-ENVIRONMENTS 18. BIG DATA REALISM AND AI ABSTRACTION: AUGMENTED SYNTHETIC UNREAL ENVIRONMENTS 19. BIG DATA AND AI: FROM PIRANESI’S AHISTORIC ARCHEOLOGY, TO AN INDEXICAL URBANISM OF INFORMATION, TO AN AUTONOMOUS "AI" SIMULACRA Section VI: Conclusion 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.
"This theoretical and experimental approach proposes in the book the definition of a new architectural signifier, a "digital signifier". Summoning Derrida's economy of language, the author intends to reform the tools of architecture to develop "an architecture of architectures". In addition to the historical panorama, the work contributes to modeling the logical laws which, from Aristotle to Leibniz's Characteristica Universalis, determine the ontological conditions of the relationship between what appears and what one can know and what one can express. From then on, we understand the continual critical rapprochement between data and signifiers, and between information and representation.'' - Alexis A. Meier, Phd, Prof. INSA Strasbourg