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Thinking in Complexity

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Release : 2013-03-09
Genre : Science
Kind : eBook
Book Rating : 054/5 ( reviews)

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Book Synopsis Thinking in Complexity by : Klaus Mainzer

Download or read book Thinking in Complexity written by Klaus Mainzer. This book was released on 2013-03-09. Available in PDF, EPUB and Kindle. Book excerpt: Since the first edition sold out in less than a year, we now present the revised second edition of Mainzer's popular book. The theory of nonlinear complex systems has become a successful problem-solving approach in the natural sciences from laser physics, quantum chaos, and meteorology to computer simulations of cell growth in biology. It is now recognized that many of our social, ecological, and political problems are also of a global, complex, and nonlinear nature. And one of the most exciting contemporary topics is the idea that even the human mind is governed largely by the nonlinear dynamics of complex systems. In this wide-ranging but concise treatment, Prof. Mainzer discusses, in a nontechnical language, the common framework behind these endeavors. Emphasis is given to the evolution of new structures in natural and cultural systems and we see clearly how the new integrative approach can give insights not available from traditional reductionistic methods.

Thinking in Complexity

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Release : 2007-09-07
Genre : Science
Kind : eBook
Book Rating : 289/5 ( reviews)

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Book Synopsis Thinking in Complexity by : Klaus Mainzer

Download or read book Thinking in Complexity written by Klaus Mainzer. This book was released on 2007-09-07. Available in PDF, EPUB and Kindle. Book excerpt: This new edition also treats smart materials and artificial life. A new chapter on information and computational dynamics takes up many recent discussions in the community.

Why Simple Wins

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Release : 2016-10-13
Genre : Business & Economics
Kind : eBook
Book Rating : 671/5 ( reviews)

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Book Synopsis Why Simple Wins by : Lisa Bodell

Download or read book Why Simple Wins written by Lisa Bodell. This book was released on 2016-10-13. Available in PDF, EPUB and Kindle. Book excerpt: Imagine what you could do with the time you spend writing emails every day. Complexity is killing companies' ability to innovate and adapt, and simplicity is fast becoming the competitive advantage of our time. Why Simple Wins helps leaders and their teams move beyond the feelings of frustration and futility that come with so much unproductive work in today's corporate world to create a corporate culture where valuable, essential, meaningful work is the norm. By learning how to eliminate redundancies, communicate with clarity, and make simplification a habit, individuals and companies can begin to recognize which activities are time-sucks and which create lasting value. Lisa Bodell's simplification method has several unique principles: Simplification is a skill that's available to us all, yet very few leaders use it. Simplification is the right thing to do--for our customers, for our company, and for each other. Operating with simplification as our core business model will make it easier to be respectful of each other's time. Simplification drives culture, and culture in turn drives employee engagement, customer relations, and overall productivity. This book is inspired by Bodell's passion for eliminating barriers to innovation and productivity. In it, she explains why change and innovation are so hard to achieve--and it's not what you might expect. The reality is this: we spend our days drowning in mundane tasks like meetings, emails, and reports. These are often self-created complexities that prevent us from getting to the meaningful work that truly matters. Using simple stories and techniques, Why Simple Wins shows that by using simplicity as an operating principle, we can eliminate the busy work that puts a chokehold on us every day, and instead spend time on the work that we value.

Diversity and Complexity

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Release : 2010-11-08
Genre : Political Science
Kind : eBook
Book Rating : 143/5 ( reviews)

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Book Synopsis Diversity and Complexity by : Scott E. Page

Download or read book Diversity and Complexity written by Scott E. Page. This book was released on 2010-11-08. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the role of diversity in complex adaptive systems. A complex system--such as an economy or a tropical ecosystem--consists of interacting adaptive entities that produce dynamic patterns and structures. Diversity plays a different role in a complex system than it does in an equilibrium system, where it often merely produces variation around the mean for performance measures. In complex adaptive systems, diversity makes fundamental contributions to system performance. Scott Page gives a concise primer on how diversity happens, how it is maintained, and how it affects complex systems. He explains how diversity underpins system level robustness, allowing for multiple responses to external shocks and internal adaptations; how it provides the seeds for large events by creating outliers that fuel tipping points; and how it drives novelty and innovation. Page looks at the different kinds of diversity--variations within and across types, and distinct community compositions and interaction structures--and covers the evolution of diversity within complex systems and the factors that determine the amount of maintained diversity within a system. Provides a concise and accessible introduction Shows how diversity underpins robustness and fuels tipping points Covers all types of diversity The essential primer on diversity in complex adaptive systems

Measures of Complexity

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Release : 2015-09-03
Genre : Computers
Kind : eBook
Book Rating : 522/5 ( reviews)

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Book Synopsis Measures of Complexity by : Vladimir Vovk

Download or read book Measures of Complexity written by Vladimir Vovk. This book was released on 2015-09-03. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together historical notes, reviews of research developments, fresh ideas on how to make VC (Vapnik–Chervonenkis) guarantees tighter, and new technical contributions in the areas of machine learning, statistical inference, classification, algorithmic statistics, and pattern recognition. The contributors are leading scientists in domains such as statistics, mathematics, and theoretical computer science, and the book will be of interest to researchers and graduate students in these domains.

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