Computing Nature, 1st Edition

  • Published By:
  • ISBN-10: 3642372252
  • ISBN-13: 9783642372254
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 273 Pages | eBook
  • Original Copyright 2013 | Published/Released May 2014
  • This publication's content originally published in print form: 2013

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This book is about nature considered as the totality of physical existence, the universe, and our present day attempts to understand it. If we see the universe as a network of networks of computational processes at many different levels of organization, what can we learn about physics, biology, cognition, social systems, and ecology expressed through interacting networks of elementary particles, atoms, molecules, cells, (and especially neurons when it comes to understanding of cognition and intelligence), organs, organisms and their ecologies? Regarding our computational models of natural phenomena Feynman famously wondered: "Why should it take an infinite amount of logic to figure out what one tiny piece of space/time is going to do?" Phenomena themselves occur so quickly and automatically in nature. Can we learn how to harness nature's computational power as we harness its energy and materials? This volume includes a selection of contributions from the Symposium on Natural Computing/Unconventional Computing and Its Philosophical Significance, organized during the AISB/IACAP World Congress 2012, held in Birmingham, UK, on July 2-6, on the occasion of the centenary of Alan Turing's birth. In this book, leading researchers investigated questions of computing nature by exploring various facets of computation as we find it in nature: relationships between different levels of computation, cognition with learning and intelligence, mathematical background, relationships to classical Turing computation and Turing's ideas about computing nature - unorganized machines and morphogenesis. It addresses questions of information, representation and computation, interaction as communication, concurrency and agent models; in short this book presents natural computing and unconventional computing as extension of the idea of computation as symbol manipulation.

Table of Contents

Front Cover.
Editorial Board.
Advisory Board.
Title Page.
Copyright Page.
1: Computing Nature – A Network of Networks of Concurrent Information Processes.
2: A Framework for Computing Like Nature.
3: The Coordination of Probabilistic Inference in Neural Systems.
4: Neurobiological Computation and Synthetic Intelligence.
5: A Behavioural Foundation for Natural Computing and a Programmability Test.
6: Alan Turing's Legacy: Info-computational Philosophy of Nature.
7: Dualism of Selective and Structural Manifestations of Information in Modelling of Information Dynamics.
8: Intelligence and Reference Formal Ontology of the Natural Computation.
9: Representation, Analytic Pragmatism and AI.
10: Salient Features and Snapshots in Time: An Interdisciplinary Perspective on Object Representation.
11: Toward Turing's A-Type Unorganised Machines in an Unconventional Substrate: A Dynamic Representation in Compartmentalised Excitable Chemical Media.
12: Learning to Hypercompute? An Analysis of Siegelmann Networks.
13: Oracle Hypermachines Faced with the Verification Problem.
14: Does the Principle of Computational Equivalence Overcome the Objections against Computationalism?.
15: Some Constraints on the Physical Realizability of a Mathematical Construction.
16: From the Closed Classical Algorithmic Universe to an Open World of Algorithmic Constellations.
17: What Makes a Computation Unconventional?.
Author Index.
Computing Nature Cover Bios.