Kenneth Boulding, Elias Khalil

Evolution, Order and Complexity (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Evolution, Order and Complexity reflects topical interest in the relationship between the social and natural worlds. It represents the cutting edge of current thinking which challenges the natural/social dichotomy thesis by showing how the application of ideas which derive from biology can be applied and offer insight into the social realm. This is done by introducing the general system theory to the methodological debate on the relation of human and natural sciences.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 296
• Erscheinungstermin: 4. Januar 2002
• Englisch
• ISBN-13: 9781134775842
• Artikelnr.: 42681947

Autorenporträt

Kenneth Boulding, Elias Khalil

Inhaltsangabe

Chapter 1 Social Theory and Naturalism Elias L. Khalil Chapter 2
Inter-facing Complexity at a Boundary Between the Natural and Social
Sciences Karl H. PribamChapter 3 The Autonomy of Social Reality: On the
Contribution of Systems Theory to the Theory of Society Jean-Pierre Dupuy
Chapter 4 Ultradarwinian Explanation and the Biology of Social Systems
Niles EldredgeChapter 5 The Complexity of Social and Mental Structures in
Non-Human Mammals Hubert Hendrichs Chapter 6 On Social Nature of
Autopoietic Systems Milan ZelenyChapter 7 Organization, Function, and
Creativity in Biological and Social Systems Vilmos CsanyiChapter 8 Human
Society as an Emerging Global Superorganism: A Biological Perspective
Gregory B. Stock and John H. Campbell Chapter 9 Neurological and Social
Bases of Dominance in Human Society Henri Laborit Chapter 10 The
Propensities of Evolving Systems Robert E. Ulanowicz Chapter 11 Life Beyond
the Newtonian Paradigm: Creativity, Uncertainty and Learning Peter M. Allen
Chapter 12 Human Social Systems as Part of Ecosystems: Aspects Related to
Energy and Exosomatic Artifacts Ramon Margalef Chapter 13 Synergetics as a
Bridge Between the Natural and Social Sciences Hermann Haken Chapter 14 The
Problem of Observables in Models of Biological Organizations Howard H.
Pattee