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General System Theory: Foundations, Development, Applications (Revised Edition),New
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Gathered Here Are Ludwig Von Bertalanffys Writings On General Systems Theory, Selected And Edited To Show The Evolution Of Systems Theory And To Present It Applications To Problem Solving. An Attempt To Formulate Common Laws That Apply To Virtually Every Scientific Field, This Conceptual Approach Has Had A Profound Impact On Such Widely Diverse Disciplines As Biology, Economics, Psychology, And Demography.
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- Q: What is the main focus of 'General System Theory' by Ludwig Von Bertalanffy? A: The book focuses on the foundations, development, and applications of general systems theory, highlighting its evolution and its relevance across various scientific disciplines.
- Q: Who is the author of this book? A: The author of 'General System Theory' is Ludwig Von Bertalanffy, a prominent figure in systems theory.
- Q: What is the publication date of this revised edition? A: This revised edition was published on March 17, 1969.
- Q: How many pages does this book contain? A: The book contains a total of 296 pages.
- Q: What is the condition of the book? A: The book is listed in 'Good' condition, indicating it has been used but is still in acceptable shape.
- Q: What type of binding does this book have? A: This edition of the book is available in paperback binding.
- Q: In which category is this book classified? A: The book is classified under 'Systems Analysis & Design'.
- Q: What are some applications of general systems theory discussed in the book? A: The book discusses the application of general systems theory in fields such as biology, economics, psychology, and demography.
- Q: Is there a specific target audience for this book? A: The book is suitable for students, researchers, and professionals interested in systems theory and its interdisciplinary applications.
- Q: What is the significance of general systems theory according to the author? A: According to Ludwig Von Bertalanffy, general systems theory aims to formulate common laws that can be applied across virtually every scientific field, thus enhancing problem-solving capabilities.