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George Whitesides: Toward a science of simplicity

George Whitesides: Toward a science of simplicity

http://www.ted.com/talks/george_whitesides_toward_a_science_of_simplicity.html

Related:  Complex Systems

The human microbiome: Me, myself, us WHAT’S a man? Or, indeed, a woman? Biologically, the answer might seem obvious. A human being is an individual who has grown from a fertilised egg which contained genes from both father and mother. The Simplex Process - Problem Solving Training from MindTools A Robust Creative Problem-Solving Process Work through the cycle. © iStockphoto/centyr When you're solving business problems, it's all-too-easy easy to skip over important steps in the problem-solving process, meaning that you can miss good solutions, or, worse still, fail to identify the problem correctly in the first place. Scaling of cities With urban population increasing dramatically worldwide, cities are playing an increasingly critical role in human societies and the sustainability of the planet. An obstacle to effective policy is the lack of meaningful urban metrics based on a quantitative understanding of cities. Typically, linear per capita indicators are used to characterize and rank cities. However, these implicitly ignore the fundamental role of nonlinear agglomeration integral to the life history of cities. As such, per capita indicators conflate general nonlinear effects, common to all cities, with local dynamics, specific to each city, failing to provide direct measures of the impact of local events and policy.

Think Complexity by Allen B. Downey Buy this book from Amazon.com. Download this book in PDF. Read this book online. Description Download Download NeuroSolutions Products Most software companies do not allow you try out their programs before you buy them. They may give you a flashy slide show for free, but not a working evaluation copy of the software. We on the other hand provide you with working copies of NeuroSolutions products that will allow you to design, train and test a neural network with your own data. Our Neurosolutions download includes NeuroSolutions, NeuroSolutions for Excel, NeuroSolutions Accelerator* and Custom Solution Wizard. A separate download is available for NeuroSolutions for MATLAB. Intelligent Complex Adaptive Systems I don’t believe in the existence of a complex systems theory as such and, so far, I’m still referring to complex systems science (CSS) in order to describe my research endeavours. In my view, the latter is constituted, up until now, by a bundle of loosely connected methods and theories aiming to observe— from contrasted standpoints—these fascinating objects of research called complex adaptive systems. Nearly 40 years after Von Bertalanffy’s General System Theory (1968) and Jacques Monod’s Chance and Necessity (1971), it is fair to look back and to try to assess how much remains to be said about these complex adaptive systems.

Complicated VS Complex What’s the difference between sending a rocket to the moon and getting children to succeed in school? What’s the difference between a surgeon extracting a brain tumor and judge and jury deciding guilt or innocent for a person accused of murder? Answers: sending a rocket to the moon and surgeons extracting brain tumors are complicated tasks while getting children to succeed in school (or, for that matter, raising a child) and the criminal justice system are complex. According to York University (Ontario, Canada) business professor Brenda Zimmerman, complicated procedures like brain surgery and rocket launchings require engineer-designed blueprints, step-by-step algorithms, well-trained staff, and exquisite combinations of computer software running carefully calibrated equipment.

Decision and Information Sciences - CEEESA Decision Analysis Tools The Center for Energy, Environmental, and Economic Systems Analysis (CEEESA) provides decision analysis tools that cover a wide range of issues. The table below summarizes the available models. Click on each model name to get more information. Decision Analysis Model (DAM) DAM was developed to aid decision analysts in solving multiple-criteria decision analysis problems.

Complex systems made simple Albert-László Barabási and Yang-Yu Liu, together with their collaborator Jean-Jacques Slotine at M.I.T., have developed a method for observing large, complex systems. In the image above, red dots represent sensor nodes, which are required to reconstruct the entire internal state of one such system. Image by Mauro Martino. Just as the name implies, com­plex sys­tems are dif­fi­cult to tease apart. An organism’s genome, a bio­chem­ical reac­tion, or even a social net­work all con­tain many inter­de­pen­dent components—and changing any one of them can have per­va­sive effects on all the others. Complexity Complexity is generally used to characterize something with many parts where those parts interact with each other in multiple ways. The study of these complex linkages is the main goal of complex systems theory. In science,[1] there are at this time a number of approaches to characterizing complexity, many of which are reflected in this article. Neil Johnson admits that "even among scientists, there is no unique definition of complexity - and the scientific notion has traditionally been conveyed using particular examples..." Ultimately he adopts the definition of 'complexity science' as "the study of the phenomena which emerge from a collection of interacting objects

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