000			05851nam a22003377a 4500
003			pucpr
005			20240415143856.0
008			221209t20232023enkab b 001 0 eng
020			_a9781032272702 _qhardback
020			_a9781032272689 _qpaperback
020			_z9781003292036 _qebook
040			_apucpr _beng _cpucpr _dpucpr _erda
049			_aCARIBET
050	0	0	_aNA2543.T43 _bL67 2023
082	0	0	_223 _a720.28
100	1		_aLorenzo-Eiroa, Pablo, _eauthor.
245	1	0	_aDigital signifiers in an architecture of information : _bfrom big data and simulation to artificial intelligence. / _cPablo Lorenzo-Eiroa. _htxt
264		1	_aLondon ; _aNew York : _bRoutledge, Taylor & Francis Group, _c2023.
300			_a472 p. : _bill. ; maps ; _c24 cm _fbook
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
504			_aIncludes bibliographical references and index.
505			_axi Preface – xvii Acknowledgements – 1 Introduction: Toward a Critical Multidimensional Artificial Intelligence: Displacing Bias in Data, Reference, Digital Signifiers, and Systems of Representation – 14 Systems of Measurement Idealizing and Displacing Human Proportions – 20 Brunelleschi’s Parametric Analog Computational Interface: From a New Media Normalizing Visualization to Indexing, Displacing, And Innovating in Representation – 30 Palladio’s Parametric Undecidability as a Critical Topological Model – 41 Borromini’s Topological Model Displaced by Rainaldi’s Ahistorical Synthesis: Architects Indexing, Displacing, and Innovating in Spatial Representation – 68 Linguistic and Visual Semiotic signs as Signifiers Anticipating Authorship in Architecture – 87 Computational Linguistic Semiotics: From Mathematics, to Computational Languages Grammar, to Machine Learning, to Signifieds in Natural Language Processing (NLP), to Emergent Programming – 140 Computational Visual Semiotics: Grammatology Displacing Signals, Signs and Digital Signifiers From Pixels to Point Clouds and Particles Activating Emergent Programming – 187 Displacing Origination by Digital Signifiers from Computation to AI – 206 Expanding Dimensions in Spatial Reference and Representational Systems Toward a Multidimensional Architecture of Information: From Topology to Artificial Neural Networks, to Quantum Computing – 235 Computational Informational Semiotics: Signs and Signals in Machines to “Draw” and “Build” through Double Bind Adversarial Robotic Feedback Actualization – 259 Gaudi’s Analog Computational Model as Parallel Processing: From Mathematical Modelling, to Big Data Survey, to Simulation, to AI – 276 Ai Emergent Structure through Robotic Signals as Information Actualization – 299 AI Synthetic Environments as Simulation-Based Information Actualization – 326 Post-Human Project-Specific and Site-Specific Robotic System – 336 Deconstructing the City Through New Signifiers: Simulation-Based Emergent Space-Environments – 352 Big Data Politics in Emergent Space Environments: Rezoning New York City through Big Data, AI, and Simulation – 366 Thermodynamic Blockchain Environmental Engine: Toward Post-Capitalist Universal Space- Environments – 388 Big data Realism and AI Abstraction: Post-Colonial Emergent Histories in Augmented Synthetic Unreal Environments – 397 Big data AI Simulacra Within a Representation Restricted Reality (RRR): From Piranesi’s Ahistoric Archeology, to an Urbanism of Information, to a Quantum “AI” Simulacra – 416 Conclusion: Expanding Authorship through an Ahistoric Critical Architecture of Information AI – 437 List of Figures – 461 Index –
520			_a"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"--
650		0	_aArchitecture and technology.
650		0	_aArchitectural writing.
650		0	_aArchitecture _xPhilosophy.
650		0	_aArchitecture _xMathematics.
942			_2lcc _c27 _hNA2543.T43 _kGeneral _mL67 2023
999			_c302165 _d302165