Dissertation/ Thesis
Computer Science Applied to Architecture: Multidimensional Architecture of Information: E xpanding Systems of Representation and Computational Signifiers from Big Data, Simulation, and Robotics activating Artificial Intelligence.
| Τίτλος: | Computer Science Applied to Architecture: Multidimensional Architecture of Information: E xpanding Systems of Representation and Computational Signifiers from Big Data, Simulation, and Robotics activating Artificial Intelligence. |
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| Συγγραφείς: | Lorenzo-Eiroa, Pablo |
| Συνεισφορές: | University/Department: Universitat Internacional de Catalunya. Departament d'Arquitectura |
| Thesis Advisors: | Estévez Escalera, Alberto, Meier, Alexis |
| Πηγή: | TDX (Tesis Doctorals en Xarxa) |
| Στοιχεία εκδότη: | Universitat Internacional de Catalunya, 2022. |
| Έτος έκδοσης: | 2022 |
| Φυσική περιγραφή: | 961 p. |
| Θεματικοί όροι: | Architecture, Information, Computational Design, Big Data, Robotics, Materials, AI (Artificial Intelligence), Multidimensionality, Proyectos arquitectónicos |
| Περιγραφή: | This Doctorate Thesis investigates the histories and theories of representation in architecture interrelating technology and culture through linguistics in computational design and robotic fabrication. The thesis addresses mutidimensional spatial representation in the information age, to propose a means to address the displacement of deep informational structures in computational design through Big Data, Robotics, Materials, and AI (Artificial Intelligence) through a diverse set of methodologies from Machine Learning to Artificial Neural Networks, to Generative Adversarial Networks. The thesis argues that necessarily innovation in architecture involves a displacement of the deeper systems of representation. Within the information age, the displacement of systems of representation implies the displacement of the coding, binary signals, cryptography, algorithms, metaalgorithms and three-dimensional Cartesian systems of representation that structure and pre-determine architecture design. The thesis develops concepts and applied case studies for the emerging e-Architect, an autonomous blockchain AI platform. |
| Τύπος εγγράφου: | Dissertation/Thesis |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| Σύνδεσμος πρόσβασης: | http://hdl.handle.net/10803/675513 |
| Rights: | ADVERTIMENT. Tots els drets reservats. L'accés als continguts d'aquesta tesi doctoral i la seva utilització ha de respectar els drets de la persona autora. Pot ser utilitzada per a consulta o estudi personal, així com en activitats o materials d'investigació i docència en els termes establerts a l'art. 32 del Text Refós de la Llei de Propietat Intel·lectual (RDL 1/1996). Per altres utilitzacions es requereix l'autorització prèvia i expressa de la persona autora. En qualsevol cas, en la utilització dels seus continguts caldrà indicar de forma clara el nom i cognoms de la persona autora i el títol de la tesi doctoral. No s'autoritza la seva reproducció o altres formes d'explotació efectuades amb finalitats de lucre ni la seva comunicació pública des d'un lloc aliè al servei TDX. Tampoc s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant als continguts de la tesi com als seus resums i índexs. |
| Αριθμός Καταχώρησης: | edstdx.10803.675513 |
| Βάση Δεδομένων: | TDX |
| FullText | Text: Availability: 0 CustomLinks: – Url: http://hdl.handle.net/10803/675513# Name: EDS - TDX (ns324271) Category: fullText Text: View record in TDX |
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| Header | DbId: edstdx DbLabel: TDX An: edstdx.10803.675513 RelevancyScore: 1356 AccessLevel: 3 PubType: Dissertation/ Thesis PubTypeId: dissertation PreciseRelevancyScore: 1356.31225585938 |
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| Items | – Name: Title Label: Title Group: Ti Data: Computer Science Applied to Architecture: Multidimensional Architecture of Information: E xpanding Systems of Representation and Computational Signifiers from Big Data, Simulation, and Robotics activating Artificial Intelligence. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lorenzo-Eiroa%2C+Pablo%22">Lorenzo-Eiroa, Pablo</searchLink> – Name: Author Label: Contributors Group: Au Data: University/Department: Universitat Internacional de Catalunya. Departament d'Arquitectura – Name: Author Label: Thesis Advisors Group: Au Data: Estévez Escalera, Alberto<br />Meier, Alexis – Name: TitleSource Label: Source Group: Src Data: TDX (Tesis Doctorals en Xarxa) – Name: Publisher Label: Publisher Information Group: PubInfo Data: Universitat Internacional de Catalunya, 2022. – Name: DatePubCY Label: Publication Year Group: Date Data: 2022 – Name: PhysDesc Label: Physical Description Group: PhysDesc Data: 961 p. – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Architecture%22">Architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Information%22">Information</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+Design%22">Computational Design</searchLink><br /><searchLink fieldCode="DE" term="%22Big+Data%22">Big Data</searchLink><br /><searchLink fieldCode="DE" term="%22Robotics%22">Robotics</searchLink><br /><searchLink fieldCode="DE" term="%22Materials%22">Materials</searchLink><br /><searchLink fieldCode="DE" term="%22AI+%28Artificial+Intelligence%29%22">AI (Artificial Intelligence)</searchLink><br /><searchLink fieldCode="DE" term="%22Multidimensionality%22">Multidimensionality</searchLink><br /><searchLink fieldCode="DE" term="%22Proyectos+arquitectónicos%22">Proyectos arquitectónicos</searchLink> – Name: Abstract Label: Description Group: Ab Data: This Doctorate Thesis investigates the histories and theories of representation in architecture interrelating technology and culture through linguistics in computational design and robotic fabrication. The thesis addresses mutidimensional spatial representation in the information age, to propose a means to address the displacement of deep informational structures in computational design through Big Data, Robotics, Materials, and AI (Artificial Intelligence) through a diverse set of methodologies from Machine Learning to Artificial Neural Networks, to Generative Adversarial Networks. The thesis argues that necessarily innovation in architecture involves a displacement of the deeper systems of representation. Within the information age, the displacement of systems of representation implies the displacement of the coding, binary signals, cryptography, algorithms, metaalgorithms and three-dimensional Cartesian systems of representation that structure and pre-determine architecture design. The thesis develops concepts and applied case studies for the emerging e-Architect, an autonomous blockchain AI platform. – Name: TypeDocument Label: Document Type Group: TypDoc Data: Dissertation/Thesis – Name: Format Label: File Description Group: SrcInfo Data: application/pdf – Name: Language Label: Language Group: Lang Data: English – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="http://hdl.handle.net/10803/675513" linkWindow="_blank">http://hdl.handle.net/10803/675513</link> – Name: Copyright Label: Rights Group: Cpyrght Data: ADVERTIMENT. Tots els drets reservats. L'accés als continguts d'aquesta tesi doctoral i la seva utilització ha de respectar els drets de la persona autora. Pot ser utilitzada per a consulta o estudi personal, així com en activitats o materials d'investigació i docència en els termes establerts a l'art. 32 del Text Refós de la Llei de Propietat Intel·lectual (RDL 1/1996). Per altres utilitzacions es requereix l'autorització prèvia i expressa de la persona autora. En qualsevol cas, en la utilització dels seus continguts caldrà indicar de forma clara el nom i cognoms de la persona autora i el títol de la tesi doctoral. No s'autoritza la seva reproducció o altres formes d'explotació efectuades amb finalitats de lucre ni la seva comunicació pública des d'un lloc aliè al servei TDX. Tampoc s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant als continguts de la tesi com als seus resums i índexs. – Name: AN Label: Accession Number Group: ID Data: edstdx.10803.675513 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edstdx&AN=edstdx.10803.675513 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 961 Subjects: – SubjectFull: Architecture Type: general – SubjectFull: Information Type: general – SubjectFull: Computational Design Type: general – SubjectFull: Big Data Type: general – SubjectFull: Robotics Type: general – SubjectFull: Materials Type: general – SubjectFull: AI (Artificial Intelligence) Type: general – SubjectFull: Multidimensionality Type: general – SubjectFull: Proyectos arquitectónicos Type: general Titles: – TitleFull: Computer Science Applied to Architecture: Multidimensional Architecture of Information: E xpanding Systems of Representation and Computational Signifiers from Big Data, Simulation, and Robotics activating Artificial Intelligence. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lorenzo-Eiroa, Pablo IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 06 Type: published Y: 2022 |
| ResultId | 1 |