Physics of Emergence and Organization

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World Scientific, 2008 - Science - 421 pages
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This book is a state-of-the-art review on the Physics of Emergence. The challenge of complexity is to focus on the description levels of the observer in context-dependent situations. Emergence is not only an heuristic approach to complexity, but it also urges us to face a much deeper question ? what do we think is fundamental in the physical world?This volume provides significant and pioneering contributions based on rigorous physical and mathematical approaches ? with particular reference to the syntax of Quantum Physics and Quantum Field Theory ? dealing with the bridge-laws and their limitations between Physics and Biology, without failing to discuss the involved epistemological features.Physics of Emergence and Organization is an interdisciplinary source of reference for students and experts whose interests cross over to complexity issues.
 

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When I was a child the most exciting field of science was fundamental physics:
relativity theory, quantum mechanics and cosmology.
As we all know, fundamental physics is now in the doldrums.
The
most exciting field of science is currently molecular biology.
We are being flooded with fascinating data (for example, in comparative genomics),
and the opportunities for applications seem limitless.
A mathematician or physicist looking with admiration at the exciting developments in
molecular biology might be forgiven for wondering how theory is faring in this flood
of data and medical applications.
In a way, molecular biology feels more like software engineering than a
fundamental science,
Nevertheless there are fundamental questions in biology.
Here are some examples:
a) Is life pervasive in the universe, or are we unique?
b) What are consciousness and thought, and how widespread are they?
c) Can human intelligence be greatly amplified through genetic engineering?
These are extremely difficult questions, but as the articles in this special issue attest,
the human being is a theory-building as well as a tool-using animal.
The desire for fundamental understanding cannot be suppressed.
Someday we will have a theoretical understanding of fundamental biological concepts.
In order to do that we will probably have to drastically change mathematics and physics.
This is already happening, as the notions of complexity, computation and information
develop and spread.
What the mathematics and physics of complex systems may ultimately be like,
nobody can say, but as the articles in this issue show, we are starting to get some interesting glimpses.
The only thing I can safely predict is that the future is unpredictable.
There will no doubt be a lot of surprises.
Gregory Chaitin, June 2007
 

Contents

Emergence and Computation at the Edge of Classical and Quantum Systems Ignazio Licata
1
Gauge Generalized Principle for Complex Systems Germano Resconi
27
Novel Twists to the Physical Account of Time Avshalom C Elitzur and Shahar Dolev
61
Quantum Theories as Models of Complexity Kirsty Kitto
77
A Crossdisciplinary Framework for the Description of Contextually Mediated Change Liane Gabora and Diederik Aerts
109
Quantumlike Probabilistic Models Outside Physics Andrei Khrennikov
135
Phase Transitions in Biological Matter Eliano Pessa
165
Microcosm to Macrocosm via the Notion of a Sheaf Observers in Terms of ttopos Goro Kato
229
A General Model for Complex Patterns in Nature RA Barrio
267
Primordial Evolution in the Finitary Process Soup Olof G ornerup and James P Crutch eld
297
Emergence of Universe from a Quantum Network Paola A Zizzi
313
Simplicity vs Complexity in Biology Joseph P Zbilut
327
Autopoiesis and the Organizational Characterization of the Living Leonardo Bich and Luisa Damiano
339
The Need for a Physical Theory of Biological Organization Graziano Terenzi
371
How Uncertain is Uncertainty? Tibor Vamos
389
Archetypes Causal Description and Creativity in Natural World Leonardo Chiatti
405

The Dissipative Quantum Model of Brain and Laboratory Observations Walter J Freeman and Giuseppe Vitiello
233
Inside Neurons and at the Brain Scale HC Rosu O CornejoP erez and JE P erezTerrazas
253

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