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By: Robert B. Northrop (Author)
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Written for students and professionals in the fields of biomedical engineering, systems biology, biophysics, and physiology, this unique reference covers complexity issues within living systems. Topics include human responses to coping with complex systems, the Law of Unintended Consequences, the relation of complexity to evolution, the complexity inherent in invertebrate immune systems, and the complexity inherent in economic systems. A comprehensive glossary provides acronyms and terms relating to complex, nonlinear biological systems. Dynamic models and homework questions are also included to further aid in understanding.
The boundaries between simple and complicated, and complicated and complex system designations are fuzzy and debatable, even using quantitative measures of complexity. However, if you are a biomedical engineer, a biologist, physiologist, economist, politician, stock market speculator, or politician, you have encountered complex systems. Furthermore, your success depends on your ability to successfully interact with and manage a variety of complex systems. In order not to be blindsided by unexpected results, we need a systematic, comprehensive way of analyzing, modeling, and simulating complex systems to predict non-anticipated outcomes.
In its engaging first chapters, the book introduces complex systems, Campbell''s Law, and the Law of Unintended Consequences, and mathematics necessary for conversations in complex systems. Subsequent chapters illustrate concepts via commonly studied biological mechanisms. The final chapters focus on higher-level complexity problems, and introduce complexity in economic systems.
Designed as a reference for biologists and biological engineers, Introduction to Complexity and Complex Systems lends itself to use in a classroom course to introduce advanced students studying biomedical engineering, biophysics, or physiology to complex systems. Engaging and illustrative, this book aids scientists and decision makers in managing biological complexity and complex systems.
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