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Periodical
Journal of social and evolutionary systems.
ISSN: 18785069 Year: 1992 Publisher: [Greenwich, Conn.] : JAI Press,

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Keywords

Sociobiology --- Human biology --- Anthropology --- Sociology --- Anthropology. --- Human biology. --- Sociobiology. --- Sociology. --- Évolution (Biologie) --- Sociobiologie. --- Anthropologie. --- Sociologie. --- Développement de la personnalité --- Systems Theory. --- General Systems Theory --- Queuing Theory --- General Systems Theories --- Queuing Theories --- Systems Theories --- Systems Theories, General --- Systems Theory, General --- Theories, General Systems --- Theories, Queuing --- Theories, Systems --- Theory, General Systems --- Theory, Queuing --- Theory, Systems --- Social theory --- Biologism --- Cultural Evolution --- Evolution --- Social Change --- Systems Theory --- Social sciences --- Human evolution --- Psychology, Comparative --- Social evolution --- Biology --- Physical anthropology --- Human beings --- Systems Biology --- Modernization --- Social Development --- Social Impact --- Change, Social --- Changes, Social --- Development, Social --- Developments, Social --- Impact, Social --- Impacts, Social --- Social Changes --- Social Developments --- Social Impacts --- Group Processes --- Evolution, Cultural --- Cultural Evolutions --- Evolutions, Cultural --- Social aspects --- Cultural Evolution. --- Evolution. --- Social Change. --- Social Evolution. --- Biological Evolution --- Biological Evolution. --- Evolution, Social --- Evolution, Biological --- Genetics, Behavioral --- Primitive societies --- Anthropology, Cultural --- Cultural Anthropology --- Material Culture --- Ethnography --- Culture, Material --- Ethnographies --- Material Cultures --- Qualitative Research --- Sociobiologie --- Biologie humaine --- Anthropologie --- Sociologie --- Social Evolution


Periodical
Family systems medicine.
ISSN: 21696543 Year: 1983 Publisher: New York, N.Y. : Brunner/Mazel,

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Real brains, artificial minds
Authors: ---
ISBN: 0444011552 Year: 1987 Publisher: New York, NY : Elsevier,

Self-Organization in Biological Systems
Authors: --- ---
ISBN: 9780691116242 0691116245 0691012113 9780691012117 Year: 2001 Publisher: Princeton, N.J. Princeton University Press

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The synchronized flashing of fireflies at night. The spiraling patterns of an aggregating slime mold. The anastomosing network of army-ant trails. The coordinated movements of a school of fish. Researchers are finding in such patterns--phenomena that have fascinated naturalists for centuries--a fertile new approach to understanding biological systems: the study of self-organization. This book, a primer on self-organization in biological systems for students and other enthusiasts, introduces readers to the basic concepts and tools for studying self-organization and then examines numerous examples of self-organization in the natural world. Self-organization refers to diverse pattern formation processes in the physical and biological world, from sand grains assembling into rippled dunes to cells combining to create highly structured tissues to individual insects working to create sophisticated societies. What these diverse systems hold in common is the proximate means by which they acquire order and structure. In self-organizing systems, pattern at the global level emerges solely from interactions among lower-level components. Remarkably, even very complex structures result from the iteration of surprisingly simple behaviors performed by individuals relying on only local information. This striking conclusion suggests important lines of inquiry: To what degree is environmental rather than individual complexity responsible for group complexity? To what extent have widely differing organisms adopted similar, convergent strategies of pattern formation? How, specifically, has natural selection determined the rules governing interactions within biological systems? Broad in scope, thorough yet accessible, this book is a self-contained introduction to self-organization and complexity in biology--a field of study at the forefront of life sciences research.


Book
Systems Thinking
Authors: --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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This Systems Thinking Special Issue contains 12 papers on the nature of systems thinking as it applies to systems engineering, systems science, system dynamics, and related fields. Systems thinking can be broadly considered the activity of thinking applied in a systems context, forming a basis for fundamental approaches to several systems disciplines, including systems engineering, systems science, and system dynamics. Although these are somewhat distinct fields, they are bound by common approaches in regard to systems. Whereas systems engineering seeks to apply a multidisciplinary, holistic approach to the development of systems, systems science seeks to understand the basics related to systems of all kinds, from natural to man-made, and system dynamics seeks to understand system structures in order to influence its dynamics. Man-made systems have become more ubiquitous and complex. The study of systems, both natural and engineered, presents new challenges and opportunities to understand emergent, dynamic behaviors that inform the process of sense-making based on systems thinking.


Book
Systems Thinking
Authors: --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Systems Thinking Special Issue contains 12 papers on the nature of systems thinking as it applies to systems engineering, systems science, system dynamics, and related fields. Systems thinking can be broadly considered the activity of thinking applied in a systems context, forming a basis for fundamental approaches to several systems disciplines, including systems engineering, systems science, and system dynamics. Although these are somewhat distinct fields, they are bound by common approaches in regard to systems. Whereas systems engineering seeks to apply a multidisciplinary, holistic approach to the development of systems, systems science seeks to understand the basics related to systems of all kinds, from natural to man-made, and system dynamics seeks to understand system structures in order to influence its dynamics. Man-made systems have become more ubiquitous and complex. The study of systems, both natural and engineered, presents new challenges and opportunities to understand emergent, dynamic behaviors that inform the process of sense-making based on systems thinking.

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