3d visualization of an ownership network. Using cuttlefish and processing.org.
3d layout, complex networks, complex systems, graph, networks, processing, science, science feature, Thisnthat, Uncategorized, visualization How are the notions of randomness, i.e., stochastic processes, linked to theories in physics and what have they got to do with options pricing in economics?
How did the prevailing world view change from 1900 to 1905?
What connects the mathematicians Bachelier, Markov, Kolmogorov, Ito to the physicists Langevin, Fokker, Planck, Einstein and the economists Black, Scholes, Merton?
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Bachelier, Brownian motion, Einstein, Fokker Planck equation, history of science, Langevin, Markov process, paradigm shift, Planck, probability, randomness, science feature, science overview, stochastic processes, the big picture, Thisnthat, world views
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…but why are there laws of nature and how can these laws be discovered and understood by the human mind?
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algorithmic, allometric scaling, analytical, biology, complex networks, complex systems, complexity, consciousness, emergence, finance, fine tuned universe, foreign exchange the unreasonable effectiveness of mathematics, formal thought systems, fundamental, invariance, laws of nature, mathematical models, paradigms, physics, scaling laws, self organizing, simple rules, structure, symmetry, the unreasonable effectiveness of mathematics This is the larger lesson of animal cognition research: It humbles us.
We are not alone in our ability to invent or plan or to contemplate ourselves—or even to plot and lie.
Many scientists believed animals were incapable of any thought. They were simply machines, robots programmed to react to stimuli but lacking the ability to think or feel.
We’re glimpsing intelligence throughout the animal kingdom.
Copyright Vincent J. Musi, National Geographic
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animal cognition, animal intelligence, cognition, intelligence, nationa geographic aid organization, charity, complex networks, complex systems, education, foreign exchange, fx, india, noon.ch, npo, patterns, poverty, real world networks, statistics, stochastic, stylized facts, support, time series The study of complex networks was sparked at the end of the 90s with two seminal papers, describing their universal:
complex networks, complex systems, network layout, network visualization, real world networks, scale free networks, small world networks, weighted network analysis National Geographic`s July 2007 edition: Swarm Theory
A single ant or bee isn’t smart, but their colonies are. The study of swarm intelligence is providing insights that can help humans manage complex systems.
In 1881 a result was published, based on the observation that the first pages of logarithm books, used at that time to perform calculations, were much more worn than the other pages. The conclusion was that computations of numbers that started with 1 were performed more often than others: if d denotes the first digit of a number the probability of its appearance is equal to log(d + 1).
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