Understanding Complexity in Economic Systems with Agent Based Modeling

نویسندگان

  • Nawfal Naciri
  • Mohamed Tkiouat
چکیده

The science of complexity contains a plethora of models and ideas through which we can interpret and understand the world around us. Thus, we keep an eye on reality throughout, touching on the practical benefits of gaining an understanding of complex systems. Agent based modeling is a methodology that has been driving a lot of research in complex systems. In this work, we present how agent-based models enable us to explore and understand complexity in economic systems.

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تاریخ انتشار 2015