Clifford Alan Hooker - Reason, regulation, and realism: toward a regulatory systems theory of reason and evolutionary epistemology
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Reason, regulation, and realism: toward a regulatory systems theory of reason and evolutionary epistemology
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This book develops a new naturalist theory of reason and scientific knowledge from a synthesis of philosophy and the new sciences of complex adaptive systems. In particular, the theory of partially self-organizing regulatory systems is now emerging as central to all the life and social sciences, and this book shows how these ideas can be used to illuminate and satisfyingly reconstruct our basic philosophical concepts and principles. Evolutionary epistemology provides a unifying subject for the book. It is taken as proposing some important commonality between cognitive biological and cognitive epistemic processes. Here, that commonality is found by embedding both in a common model of complex adaptive system dynamics. New reconstructions are offered on the theories of Jean Piaget, Karl Popper, and Nicholas Rescher which show how their ideas are more deeply illuminated from this perspective in contrast to the formal rationalist interpretations standard among philosophers and scientists.
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Reason, Regulation, and Realism : Toward a Regulatory Systems Theory of Reason and Evolutionary Epistemology SUNY Series in Philosophy and Biology
author
:
Hooker, C. A.
publisher
:
State University of New York Press
isbn10 | asin
:
0791422615
print isbn13
:
9780791422618
ebook isbn13
:
9780585045610
language
:
English
subject
Knowledge, Theory of, Naturalism, System theory.
publication date
:
1995
lcc
:
BD181.H66 1995eb
ddc
:
121
subject
:
Knowledge, Theory of, Naturalism, System theory.
Page ii
Reason, Regulation, and Realism
Page iii
SUNY Series in Philosophy and Biology
David Edward Shaner, Editor
Page iv
Reason, Regulation, and Realism
Toward a Regulatory Systems Theory of Reason and Evolutionary Epistemology
C. A. Hooker
STATE UNIVERSITY OF NEW YORK PRESS
Page v
Production by Ruth Fisher Marketing by Bernadette LaManna
Published by State University of New York Press, Albany
1995 State University of New York
All rights reserved
Printed in the United States of America
No part of this book may be used or reproduced in any manner whatsoever without written permission except in the case of brief quotations embodied in critical articles and reviews.
For information, address the State University of New York Press, State University Plaza, Albany, NY 12246
Library of Congress Cataloging-in-Publication Data
Hooker, C. A. (Clifford Alan), 1942 Reason, regulation, and realism: toward a regulatory systems theory of reason and evolutionary epistemology / C.A. Hooker. p. cm.(SUNY series in philosophy and biology) Includes bibliographical references and index. ISBN 0-7914-2261-5 (alk. paper).ISBN 0-7914-2262-3 (pbk.: alk. paper) 1. Knowledge, Theory of. 2. Naturalism. 3. system theory. I. Title. II. Series. BD181.H66 1995 121dc2094-5769 CIP
10 9 8 7 6 5 4 3 2 1
Page vi
To Newcastle, Australia, for 10 good years: swimming in crystalline dawn-fired ocean on the Pacific rim, watching bowerbird mating dances in our bush garden, lunching among the wineries at the foot of the Broken Back range, walking in one of the oldest rain-forests on earth, finding people who are loving and a community that is sane.
And to that salt-of-the-earth minority who quietly work out of love to raise the probability a smidgin above 0 that our grandchildren will enjoy such privilege.
Page vii
Contents
Acknowledgments
xiii
1 Setting the Scene: Naturalism and the Prospects for Evolutionary Epistemology and Reason
1
Introduction
1
1.I. Evolutionary Naturalist Realism: A Philosophical Outline
15
1.II. Evolutionary Epistemology in a Naturalist Setting
36
2 Towards a Regulatory Systems Conception of Science
43
Introduction: Five Regulatory Systems Ideas and Their Use
44
2.I. A Framework for Theorizing Complex Regulatory Systems
44
2.I.1. The Distinction between Functional (\Informational) and Causal Systems Descriptions (Idea 1)
44
Page viii
2.I.2. The Distinction between Populations and Individuals: Not Collections to Members but Regulatory Systems to Subsystems (Idea 2)
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