Özet:

This study aims to explore the role of agent based modeling (ABM) as a simulation method in analyzing and formulating the policy making processes and modern public management that is under the pressure of information age and socio-politic demands of open societies. ABM is a simulative research method to understand complex adaptive systems (cas) from the perspective of its constituent entities. In this study, by employing agent based computing and Netlogo language, two case studies about organizational design and organizational risk analyses have been examined. Results revealed that ABM is an efficient platform determining the optimum results from various scenarios in order to understand structures and processes about policy making in both organizational design and risk management. In the future, more researches are needed about understanding role of ABM on understanding and making decision on future of cas especially in conjunction with developments in computer technologies

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