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Questa Cmap, creata con IHMC CmapTools, contiene informazioni relative a: Econophysics_2017_18, complexity paradigm with complexity and economics, Python via networkX SLAPP, built with Python, programming capabilities using GAMA Jade, Econophysics 2017-18 is taught by Pietro Terna, Networks via NW NetLogo, programming capabilities also related to Artificial Neural Networks, Econophysics 2017-18 requires programming capabilities, programming capabilities using R, genetic algorithms to find better model parameters can use NetLogo, several tools among them StarLogo TNG (and Scratch), Econophysics 2017-18 is accompanied by JASSS, an on line journal, R also for Artificial Neural Networks, Python with Jupyter, Econophysics 2017-18 has a strong link with the complexity paradigm, several tools among them NetLogo, Agent-Based Models (ABMs) for simulation experiments use several tools, Python with Numpy, programming capabilities using Python, Econophysics 2017-18 the course is mainly based on Agent-Based Models (ABMs) for simulation experiments, several tools among them SLAPP, built with Python
