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Coding as literacy : metalithikum IV /
Recent developments in computer science, particularly "data-driven procedures" have opened a new level of design and engineering. This has also affected architecture. The publication collects contributions on Coding as Literacy by computer scientists, mathematicians, philosophers, cultural...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Basel ; Boston :
Birkhäuser,
[2015]
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| Colección: | Applied virtuality book series.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- On the book series; Introduction
- Coding as Literacy; What Makes the SELF-ORGANIZING MAPS (SOM)So Particular among Learning Algorithms?; I Elements of a Digital Architecture; I Timaeus; II Pythagoras; III Ptolemy; IV Alberti; V Lagrange; VI Markov; II A Nonanthropocentric Approach to Apperception; Jean Petitot's Fiber-Bundle Approach to Apperception; The Case for Continua; III Pre-Specific Modeling: Computational Machines in a Coexistence with Concrete Universals and Data Streams; I how to Approach the Notion of Scientific Modeling; II Formal Definitions and Categories of Scientific Modeling.
- III Idealization in Scientific ModelingIV Universals and Modeling; V Specific Modeling: Models Based on Abstract Universals; V .I Limits of Modeling Based on Abstract Universals; V.I.I Godel's Incompleteness Theorem and Arbitrariness of Models Based on Abstract Universals; V .I. II Curse of Dimensionality in Complex Systems; V .I. III From Particular to Genericand the Concept of "Error"; VI Pre-Specific Modeling: Models based on Concrete Universals; VI .I Dedekind Cut: When a Particular Object is Represented by the Negation of Its Complement.
- VI .II From Generic to Particular: Object-Dependent RepresentationVII Massive Unstructured Data Streams: An Inversion in the Notion of Measurements and Data Processing; VIII Computational Methods Supporting Pre-Specific Modeling; VIII. I Markov Chains; VIII. II Self-Organizing Map; VIII .II. I No More External Dictionary and No More Generic Object ; VIII .II. II Computing with Indexes Beyond Ideal Curves; IV SOM. self. organized; V The Nature of Local/Global Distinctions, Group Actions, and Phases: A Sheaf-Theoretic Approach to Quantum Geometric Spectra; I Observables and Geometric Spectrum.
- II Group Actions and the Erlangen ProgramIII Local Group Actions and Gauge Theory; IV The Advent of Quantum Theory; V What Is a Sheaf?; VI The Program of "Relational Realism"; VII Quantum Mechanics as a Non-Spatiotemporal Gauge Theory; VIII Quantum Geometric Spectra; VI Self-Organizing Maps and Learning Vector Quantization for Complex Data; I Introduction; II Fundamental principles; II. I Unsupervised Prototype-Based Techniques; II. II Supervised Prototype-Based Schemes; III Metric Learning; IV Relational and Kernel Mapping; V Recursive models; VI Conclusions; Acknowledgments.
- VII The Common Sense of Quantum Theory: Exploring the Internal Relational Structure of Self-Organization in NatureVIII GICA : Grounded Intersubjective Concept Analysis. A Method for Improved Research, Communication, and Participation; I Introduction; I.I Contextuality and subjectivity; I. II Shedding light on subjectivity: crowdsourcing; I. III Becoming conscious of individual differences as a way of increasing understanding; I. IV False agreements and false disagreements; I .V Making differences in understanding visibl e; II Theoretical background.