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複合科学について
Understanding Complexity

定価(円)
: ¥
商品番号 :
カタログ# : TC 5181
カテゴリー : 歴史
: 360
: 0000
監督 : Scott E. Page: Univ. of Michigan
俳優 :
制作国 : USA
CC :
販社 : Teaching Company
字幕 : undefined
言語 :
ディスク : 2
リージョン : ALL
数量   EA
Details

12 X 30分

 

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 sociological term used to describe moments when unique or rare phenomena become more commonplace;

the wisdom of crowds, the argument that certain types of groups harness information and make decisions in more effective ways than individuals;

six degrees of separation, the idea that it takes no more than six steps to find some form of connection between two random individuals; and

emergence, the idea that new properties, processes, and structures can emerge unexpectedly from complex systems.

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—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.

12 Lectures

    1Complexity—What Is It? Why Does It Matter?
    2Simple, Rugged, and Dancing Landscapes
    3The Interesting In-Between
    4Why Different Is More
    5Explore Exploit—The Fundamental Trade-Off
    6Emergence I—Why More Is Different
    7Emergence II—Network Structure and Function
    8Agent-Based Modeling—The New Tool
    9Feedbacks—Beehives, QWERTY, the Big Sort
    10The Sand Pile—Self-Organized Criticality
    11Complexity versus Uncertainty
    12Harnessing Complexity

 

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