Description |
1 online resource (351 pages) : illustrations |
Series |
Applied Virtuality Book Series ; v. 4 |
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Applied virtuality book series.
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Contents |
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 |
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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 |
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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 |
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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 |
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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 |
Summary |
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 theorists, and architects. "Self-Organizing Maps" (SOM) will serve as the concrete reference point for all further discussions |
Bibliography |
Includes bibliographical references |
Notes |
II .I Cognitive theory of concepts and understanding |
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English |
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Print version record |
Subject |
Self-organizing systems -- Congresses
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Computer simulation -- Congresses
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SCIENCE -- System Theory.
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TECHNOLOGY & ENGINEERING -- Operations Research.
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Computer simulation
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Self-organizing systems
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Genre/Form |
Conference papers and proceedings
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Form |
Electronic book
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Author |
Bühlmann, Vera.
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Hovestadt, Ludger.
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Moosavi, Vahid
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ISBN |
9783035606393 |
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3035606390 |
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9783035606492 |
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3035606498 |
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