The Illusion of Reality

07.12.1988

Englisch

9780387963983

Springer US

Nein

Howard L. Resnikoff

339

Gebundene Ausgabe

computer science, artificial intelligence, Processing, Calculation, Invariant, Statistica, duality, theory of computation, psychophysics, scanner, information processing, theorem, extrema, Fourier analysis, cognitive psychology

GL - Bibliotheks- und Informationswissenschaften / Museumskunde UYT - Bildverarbeitung UYQV - Maschinelles Sehen, Bildverstehen GT - Interdisziplinäre Studien

1 Introduction Purpose of This Book and History of the Subject.- 1.1 The Subject Matter of Information Science.- 1.2 History of Information Science.- 1.3 Information and Thermodynamics.- 1.4 Early Development of Sensory Physiology and Psychophysics.- 1.5 Selective Omission of Information.- 1.6 The Quantum Mechanical Theory of Measurement.- 1.7 Early Development of Electrical Communication Engineering and Its Formalization as Information Theory.- 1.8 The Development of Computers.- 1.9 The Information Processing Viewpoint in Psychology.- 1.10 Some Principles of Information Science.- 2 Mathematics of Information Measurement.- 2.1 Purpose of This Chapter.- 2.2 The Information Content of a Measurement.- 2.3 Formal Derivation of the Information Content of a Measurement.- 2.4 Application of the Information in a Measurement to Psychophysics.- 2.5 The Probability Interpretation of the Information Measure.- 2.6 The Uncertainty Principle for Measurement.- 2.7 Conservation of Information.- 2.8 Information Content of a Calculation.- 2.9 Generalization of the Notion of an Information Measure.- 2.10 Excursus on the Theory of Groups and Their Invariants.- CHAPTER3 Physical Measurements and Information.- 3.1 Purpose of This Chapter.- 3.2 The Uncertainty Principle of Heisenberg.- 3.3 Theory of Measurement and the Conservation of Information.- 3.4 Entropy and Information.- 3.5 Information, Energy, and Computation.- 3.6 The Physics of Information Processing.- 3.7 What Is Life?.- 3.8 The Theory of Measurement and Information.- 3.9 Time’s Arrow.- 3.10 Information Gain and Special Relativity.- 4 Principles of information-Processing Systems arid Signal Detection.- 4.1 Purpose of This Chapter.- 4.2 Hierarchical Organization of Information-Processing Systems.- 4.3 Extremal Systems and the Cost of Information.- 4.4 Signals, Modulation, and Fourier Analysis.- 4.5 Shannon’s Sampling Theorem and the Uncertainty Relation.- 5 Biological Signal Detection and Information Processing.- 5.1 Purpose of This Chapter.- 5.2 Interconvertibility of Information Representations.- 5.3 Human Vision.- 5.4 Continuity of the Visual Manifold.- 5.5 Stabilized Vision.- 5.6 Information Content of Contours.- 5.7 Subjective Contours.- 5.8 Models of Human Color Perception.- 5.9 The Gaze as a Flying-Spot Scanner.- 5.10 Biological Echolocation Systems.- 5.11 A Catalog of Visual Illusions.- 5.12 Hierarchical Sampling Systems and the Duality between Noise and Aliasing.- 6 Pattern Structure and Learning.- 6.1 Purpose of This Chapter.- 6.2 Texture and Textons.- 6.3 Edge Detection, Uncertainty, and Hierarchy.- 6.4 Pattern Structure and Learning.- Biographical Sketches.- References.

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