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all.pdf (application/pdf Object)
Scientific models of complexity. Very worthwhile, a bit tangent to my interests in creating a very short history of complexitgy
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0805.0685v1.pdf (application/pdf Object)
Great complexity examples, similar to Mitchell but not as easily understood, but interesting. Hates Rosen.
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Borderland › Setting the Dial on Rationality
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The point here is that the classroom, like the economy, doesn’t always behave like a machine with direct causes and effects, but it does require some rational limits. What are they, and how should they be determined? Classroom dynamics come from impulsive and idiosyncratic behavior by everyone in the group to one another as well as to the structural limitations and possibilities presented by the system. What does this mean for the teacher, the researcher, the politician, or the ed-tech reformer?
The answer was suggested with Brian Arthur’s insight about the limits of rationality:
“Economics, as it is usually practiced, operates in a purely deductive mode….Every economic situation is first translated into a mathematical exercise, which the economic agents are supposed to solve by rigorous, analytical reasoning. But then here were Holland, the neural net people, and the other machine-learning theorists. And they were all talking about agents that operate in an inductive mode, in which they try to reason from fragmentary data to a useful internal model. Induction is what allows us to infer the existence of a cat from the glimpse of a tail vanishing around a corner. Induction is what allows us to walk through the zoo and classify some exotic feathered creature as a bird, even though we’ve never seen a scarlet-creseted cockatoo before,. Induction is what allows us to survive in a messy, unpredictable and often incomprehensible world.(p. 253)
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Sociology and complexity science - eyePlorer.com - The graphical knowledge engine
Example image of eyePlorer eyePlorer map for 'Sociology and complexity science': Complex systems Sociology and complexity science Agent-based model Systems thinking Herbert Spencer Karl Marx Max Weber Robert Merton Talcott Parsons Vilfredo Pareto Émile Durkheim Cybernetics Albert-László Barabási Duncan J. Watts Immanuel Wallerstein John Urry (sociologist) Manuel Castells Mark Newman Complex network Computational sociology Network society Niklas Luhmann Social network Sociocybernetics Complexity theory and organizations Computational economics E-Science Web Science Research Initiative Arnold J. Toynbee Post-Fordism Globalization Post-industrial society Auguste Comte Differentiation (sociology) Pareto principle Structural functionalism Santa Fe Institute Sociology Artificial neural network Data mining Dynamical systems theory Fractal John Urry Graph theory Scale-free network Small world experiment Social simulation Complex adaptive system Complexity Complexity economics
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GTE Government Systems: major re-orientation of business
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The challenge was to change the organization from a defense systems supplier with 100% of its business oriented to the needs of the US Dept. of Defense, into an organization focused on commercial products in non- defense markets for 50% of its business.
The objective for the team was to create the Transition Plan. The plan also had to integrate two parts of the division, formerly separate companies with different cultures in two widely separated locations.
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