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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.
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.
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