1st Edition

Introduction to Complexity and Complex Systems




ISBN 9781138113336
Published June 16, 2017 by CRC Press
551 Pages - 133 B/W Illustrations

USD $86.95

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Book Description

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.

Table of Contents

Introduction to Complexity and Complex Systems
Introduction to Complexity
Why Study Complex Systems?
Human Responses to Complexity
Complex Systems Engineering
Chapter Summary
Introduction to Large Linear Systems
Introduction
Linearity, Causality & Stationarity
L TI System Tools Impulse Response, Frequency Response and Real Convolution
Systems Described by Large Sets of Linear ODEs
Stability of Linear Systems
Signal Flow Graphs and Mason's Rule
Chapter Summary
Introduction to Nonlinear Biochemical Systems and Biochemical Oscillators
Introduction Some General Properties of NonIinear Systems
All Living Systems Are Nonlinear
Parametric Regulation in Complex Biological Systems
Chaos, Stability and Limit Cycle Oscillations in Nonlinear Systems
Chapter Summary
Modularity, Redundancy, Degeneracy, Pleiotropy and Robustness in
Complex Biological Systems
Introduction
Measures of Modularity
Modularity in Physiological Organ Systems
Modularity in Gene Regulation and Development
Network Motifs and Modularity
Redundancy, Degeneracy, Pleiotropy and Robustness
Chapter Summary
The Evolution of Biological Complexity; Invertebrate Immune Systems
Introduction
Darwinian Evolution; a Brief Summary
Why Does a Rise in Complexity Accompany Biological Evolution?
Examples of Biological Complexity; Invertebrate Immune Systems
Chapter Summary
The Complex Adaptive and Innate Human Immune Systems
Introduction
An Overview of the CAIS
A Summary of the Cells of the hIS
Innate Immune Systems
Antigen presentation
Autacoids Immunocytokines, Proteins and Glycoproteins Secreted by hIS Cells
Discussion How the hIS is Adaptive
Chapter Summary
Complexity in Quasispecies MicroRNAs
Quasispecies; Viral and Bacterial Evolutionary Models [see Kamp papers in NB3]
The Role of Micro-RNAs in the Regulation of Gene Expression and Disease
Chapter Summary
Introduction to Physiological Complexity Examples of Models of Some Complex Physiological Systems
Introduction
Physiology Defined
Homeostasis
Structure & Function Some Examples of Complex Physiological Regulatory Systems and their Models
Examples of When Complex Physiological Systems Fail
Chapter Summary
The Quest for Quantitative Measures of Complexity
Introduction
Intuitive Measures of Complexity
Sensitivities
Structural Complexity Measures
Informatic Complexity Measures
Chapter Summary
"Irreducible and Specified Complexity" in Living Systems
Introduction
Irreducible Complexity
Specified Complexity
Chapter Summary
Introduction to Complexity in Economic Systems
Introduction
Economic Systems
Chapter Summary
Dealing with Complexity
Introduction
Dorner's Approaches to Tackling Complex Problems
Frederic Vester's "Paper Computer"
The Sensitivity Model of Vester
Learning From Our Mistakes
Chapter Summary
Appendix
Bibliography and References
Glossary
Index

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Author(s)

Biography

Robert B. Northrop is Professor Emeritus and the former Program Director of the Biomedical Engineering Graduate Program at the University of Connecticut.

Support Material

Ancillaries

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