Application of Agent Based Modeling in the Analysis of Complex Social Systems: The Methodology of Innovation Systems Analysis

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Abstract

The main purpose of this Article is to describe the methodology of complex social systems with focused on analysis of innovation systems. At this paper, we analyze innovation system as a complex system and then, try to describe the best methodology for analyzing this systems. Agent based modeling is the main approach that define in this article that combine some concept such as game theory, complex systems, emergent property, computational social science, multy-agent systems and monte Carlo to provide a convergence logic for understanding complex systems. Our result shows that understanding and analysis of a innovation system need to application of methodologies that fit with this systems and the  best theoretical approach for analyzing this systems is a agent based modeling and uses of simulating dynamics of knowledge exchange on innovation networks.

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  • Receive Date: 04 March 2019
  • Accept Date: 04 March 2019

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