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Chaos and Complexity de Franco F. Orsucci

Chaos and Complexity

Autor Franco F. Orsucci
en Limba Engleză Hardback – 31 mar 2009
This book presents new international research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The unifying feature of this research is the tie to chaos and complexity.
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Specificații

ISBN-13: 9781604568417
ISBN-10: 1604568410
Pagini: 464
Ilustrații: tables, charts & photos
Dimensiuni: 187 x 264 x 37 mm
Greutate: 1.16 kg
Ediția:New.
Editura: Gazelle Book Services Ltd

Cuprins

Preface; Complexity and Chaos Theory in Art; Pollock, Mondrian and Nature: Recent Scientific Investigations; Visual and Semantic Ambiguity in Art; Does the Complexity of Space Lie in the Cosmos or in Chaos?; Crystal and Flame: Form and Process: The Morphology of the Amorphous; Complexity in the Mesoamerican Artistic and Architectural Works; New Paradigm Architecture; Self-Organized Criticality in Urban Spatial Development; Generation of Textures and Geometric Pseudo-Urban Models with the Aid of IFS; Pseudo-Urban Automatic Pattern Generation; Tonal Structure of Music and Controlling Chaos in the Brain; Collecting Patterns That Work for Everything; Stability Conditions in Contextual Emergence; Contextual Emergence of Mental States from Neurodynamics; Phase Coupling Supports Associative Visual Processing: Physiology and Related Models; Processing of Positive versus Negative Emotional Words is Incorporated in Anterior versus Posterior Brain Areas: An ERP Microstate LORETA Study; "Cognitive Genes" Reveal Higher Codon Complexity than "Somatic Genes"; Mutual Phase Synchronization in Single Trial Data; Ordinal Analysis of EEG Time Series; Robustifying EEG Data Analysis by Removing Outliers; Is Brain Activity Fractal?; The Timing of Neural Processes in Humans: Beyond the Evoked Potentials; Quantification of Order Patterns Recurrence Plots of Event Related Potentials; Neuronal Synchronization: From Dynamic Feature Binding to Object Representations; Testing for Coupling Asymmetry Using Surrogate Data; What Can We Learn from Single-Trial Event-Related Potentials?; The Internal Structure of the N400: Frequency Characteristics of a Language Related ERP Component; Measuring the Thalamocortical Loop in Patients with Neurogenic Pain; Assessment of Connectivity Patterns from Multivariate Time Series by Partial Directed Coherence; The Cortical Implementation of Complex Attribute and Substance Concepts: Synchrony, Frames, and Hierarchical Binding; Index.