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Understanding Complexity

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Understanding Complexity

Auteur(s): Scott E. Page, The Great Courses
Narrateur(s): Scott E. Page
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À propos de cet audio

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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Really eye opening view on how rigid systems are brittle and that adding slack (via slight efficiencies and disorganization) can actually make an organization more robust.

Why your management sucks and other insights

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I was expecting a different outcome in useable knowledge based on the book promotional material. It failed to connect the various classes into a coherent understanding of the content and its future usefulness.

Too Complex or Abstract?

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