WARNING:
JavaScript is turned OFF. None of the links on this concept map will
work until it is reactivated.
If you need help turning JavaScript On, click here.
Questa Cmap, creata con IHMC CmapTools, contiene informazioni relative a: Econophysics_2016_17, programming capabilities using GAMA Jade, complexity paradigm with complexity and economics, several tools among them SLAPP, built with Python, several tools among them NetLogo, Python via NetworkX SLAPP, built with Python, Python has powerful tools Pandas Quandl, Python has powerful tools NumPy (SciPy), programming capabilities are related to Artificial Neural Networks, Econophysics 2016-17 is taught by Pietro Terna, Networks via NetLogo NW extension NetLogo, Python an alternative Julia, NetLogo can use genetic algorithms to find better model parameters, Econophysics 2016-17 is accompanied by JASSS, an on line journal, Econophysics 2016-17 has a strong link with the complexity paradigm, Econophysics 2016-17 the course is mainly based on Agent-Based Models (ABMs) for simulation experiments, Agent-Based Models (ABMs) for simulation experiments use several tools, Econophysics 2016-17 requires programming capabilities, programming capabilities using R, Python with IPython / Jupyter, programming capabilities using Python
