Tag Archives: complex systems

Model Thinking – A Free Online Course with Scott E. Page (Director of UMich Center for Study of Complex Systems)

Starting in the January 2012, Scott E. Page (one of my PhD thesis advisors) will teach Model Thinking (a free online course offered via the consortium that brought you AI Class, Machine Learning, etc.) Scott and I have previously teamed … Continue reading

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Allan Jones: A Map of the Brain (The Same Way We Understand a City?) [ Ted 2011 ]

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Physicist Cuts Plane Boarding Time in Half [via CNet & Hacker News]

“… Steffen considered various methods, such as boarding people in blocks, at random, and in window seats first. He set up a model using an algorithm based on the Monte Carlo optimization method used in statistics and mathematics. He found … Continue reading

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Mark Pagel: How Language Transformed Humanity [ TED 2011 ]

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Managing Complex Organizations [ via HBR ]

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Geoffrey West : The Surprising Math of Cities and Corporations [ Ted Global 2011 ]

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Tim Harford: Trial, Error and the God Complex [ Ted 2011 ]

Economics writer Tim Harford studies complex systems — and finds a surprising link among the successful ones: they were built through trial and error. In this sparkling talk from TEDGlobal 2011, he asks us to embrace our randomness and start … Continue reading

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The Hindsight Fallacy: The Real Reason It’s So Hard to Predict Bubbles [Via Slate]

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Chris Burden: Metropolis II [An Artist's Perspective on Traffic Dynamics and Complex Adaptive Systems]

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Controllability of Complex Networks [via Nature]

Abstract: “The ultimate proof of our understanding of natural or technological systems is reflected in our ability to control them. Although control theory offers mathematical tools for steering engineered and natural systems towards a desired state, a framework to control … Continue reading

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Dynamic Reconfiguration of Human Brain Networks during Learning [From PNAS]

Abstract: “Human learning is a complex phenomenon requiring flexibility to adapt existing brain function and precision in selecting new neurophysiological activities to drive desired behavior. These two attributes—flexibility and selection—must operate over multiple temporal scales as performance of a skill … Continue reading

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