Self-Organization, Emerging Properties, and Learning

This volume contains the proceedings of the workshop held in March 1990 at Austin, Texas on Self-Organization, Emerging Properties and Learning. The workshop was co-sponsored by NATO Scientific Affairs Division, Solvay Institutes of Physics and Chemistry, the University of Texas at Austin and IC2 In...

Full description

Corporate Author: SpringerLink (Online service)
Other Authors: Babloyantz, Agnessa (Editor)
Format: eBook
Language:English
Published: New York, NY Springer US 1991, 1991
Edition:1st ed. 1991
Series:Nato Science Series B:, Physics
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
LEADER 04362nmm a2200313 u 4500
001 EB000625257
003 EBX01000000000000000478339
005 00000000000000.0
007 cr|||||||||||||||||||||
008 140122 ||| eng
020 |a 9781461537786 
100 1 |a Babloyantz, Agnessa  |e [editor] 
245 0 0 |a Self-Organization, Emerging Properties, and Learning  |h Elektronische Ressource  |c edited by Agnessa Babloyantz 
250 |a 1st ed. 1991 
260 |a New York, NY  |b Springer US  |c 1991, 1991 
300 |a XIX, 300 p  |b online resource 
505 0 |a Spatio-Temporal Patterns and Network Computation -- Application of Synergetics to Pattern Information and Pattern Recognition -- Coupled Map Lattices : Abstract Dynamics and Models for Physical Systems -- The Self-Organized Phase Attractive Dynamics of Coordination -- Possible Neural Mechanisms of Feature Linking in the Visual System : Stimulus-Locked and Stimulus-Induced Synchronizations -- A Model for Synchronous Activity in the Visual Cortex -- Some Collective Phenomena in the Hippocampus In Vitro -- Information Theory and Early Visual Information Processing -- Deterministic Chaos in a Model of the Thalamo-cortical System -- Chaos and Information Processing: Multifractal Attractors Mediating Perception and Cognition -- Spontaneous Activity in a Large Neural Net: Between Chaos and Noise -- Neural Learning Algorithms and their Applications in Robotics -- Self-Organization of Spatial Representation and Arm Trajectory Controllers by Vector Associative Maps Energized by Cyclic Random Generators -- Neural Darwinism and Selective Recognition Automata: How Selection Shapes Perceptual Categories -- Asymptotic Behaviour of Neural Networks and Image Processing -- Entropy and Learning -- Molecular Evolution as a Complex Optimization Problem -- A Nonthermodynamic Formalism for Biological Information Systems: Hierarchical Lacunarity in Partition Size of Intermittency -- Collectively Self-Solving Problems -- Imitation, Learning, and Communication: Central or Polarized Patterns in Collective Actions -- Spectral Entropy as a Measure of Self-Organization in Transition Flows -- Contributors 
653 |a Life sciences 
653 |a Mathematical physics 
653 |a Theoretical, Mathematical and Computational Physics 
653 |a Life Sciences, general 
710 2 |a SpringerLink (Online service) 
041 0 7 |a eng  |2 ISO 639-2 
989 |b SBA  |a Springer Book Archives -2004 
490 0 |a Nato Science Series B:, Physics 
856 |u https://doi.org/10.1007/978-1-4615-3778-6?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 570 
520 |a This volume contains the proceedings of the workshop held in March 1990 at Austin, Texas on Self-Organization, Emerging Properties and Learning. The workshop was co-sponsored by NATO Scientific Affairs Division, Solvay Institutes of Physics and Chemistry, the University of Texas at Austin and IC2 Institute at Austin. It gathered representatives from a large spectrum of scientific endeavour. The subject matter of self-organization extends over several fields such as hydrodynamics, chemistry, biology, neural networks and social sciences. Several key concepts are common to all these different disciplines. In general the self-organization processes in these fields are described in the framework of the nonlinear dynamics, which also governs the mechanisms underlying the learning processes. Because of this common language, it is expected that any progress in one area could benefit other fields, thus a beneficial cross fertilization may result. In last two decades many workshops and conferences had been organized in various specific fields dealing with self-organization and emerging properties of systems. The aim of the workshop in Austin was to bring together researchers from seemingly unrelated areas and interested in self-organization, emerg{ng properties and learning capabilities of interconnected multi-unit systems. The hope was to initiate interesting exchange and lively discussions. The expectations of the organiziers are materialized in this unusual collection of papers, which brings together in a single volume representative research from many related fields. Thus this volume gives to the reader a wider perspective over the generality and ramifications of the key concepts of self­ organization