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This Concept Map, created with IHMC CmapTools, has information related to: Econophysics_2015_16, Agent-Based Models (ABMs) for simulation experiments use several tools, Agent-Based Models (ABMs) for simulation experiments are (partially) different from MAS, Econophysics 2015-16 is accompanied by JASSS, an on line journal, Econophysics 2015-16 is taught by Pietro Terna, Python with IPython, programming capabilities using R, complexity paradigm with complexity and economics, NetLogo via NW extension Networks, programming capabilities are related to Artificial Neural Networks, several tools among them StarLogo TNG (and Scratch), Econophysics 2015-16 is mainly based on Agent-Based Models (ABMs) for simulation experiments, programming capabilities using Python, several tools among them SLAPP, built with Python, Python has a powerful num. tool: Numpy, R also for Artificial Neural Networks, SLAPP, built with Python via NetworkX Networks, Econophysics 2015-16 has a strong link with the complexity paradigm, Python via NetworkX Networks, several tools among them NetLogo, NetLogo can use genetic algorithms to find better model parameters
