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Understanding Complexity

Written by: Scott E. Page, The Great Courses
Narrated by: Scott E. Page
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Publisher's Summary

Recent years have seen the introduction of concepts from the new and exciting field of complexity science that have captivated the attention of economists, sociologists, engineers, businesspeople, and many others. These include tipping points, the wisdom of crowds, six degrees of separation (or Kevin Bacon), and emergence. 

Interest in these intriguing concepts is widespread because of the utility of this field. Complexity science can shed light on why businesses or economies succeed and fail, how epidemics spread and can be stopped, and what causes ecological systems to rebalance themselves after a disaster. 

In fact, complexity science is a discipline that may well hold the key to unlocking the secrets of some of the most important forces on Earth. But it's also a science that remains largely unknown, even among well-educated people. 

Now you can discover and grasp the fundamentals and applications of this amazing field with Understanding Complexity. Professor Scott E. Page of the University of Michigan - one of the field's most highly regarded teachers, researchers, and real-world practitioners - introduces you to this vibrant and still evolving discipline. In 12 lucid lectures, you learn how complexity science helps us understand the nature and behavior of systems formed of financial markets, corporations, native cultures, governments, and more. 

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. 

©2009 The Great Courses (P)2009 The Teaching Company, LLC

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Great introduction to study the complex world!

Complexity is such a fascinating subject ,lot of interconnected topics , there were lot of dopamine hits for me as the narrator was explaining the concepts from diverse topics

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Brilliant and Lucid

Just an amazing course! Prof Page is remarkably clear and explains the most abstruse concepts and illustrations lucidly. One has to listen closely and occasionally track back to understand models better -- but that has to do with the content itself (which is complex). Tracking back just a bit clarifies everything because the explanations are so exact and simply put.

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