Agent-based Modeling and Simulation of Strategic Scenarios with Repast 2.0

نویسندگان

  • Douglas Druckenmiller
  • William Acar
  • Marvin Troutt
چکیده

This paper provides a background discussion of agent -based modeling (ABM) and simulation of strategic scenarios. Causal mapping is introduced as a structured method for situational formulation and analysis of unstructured strategic problems. Causal mapping includes specific processes and analytical approaches offering cognitive modeling support for problem formulation and scenario planning. A prototype system for the development and simulation of causal maps using RePast 2.0 is described. A typical application is described and implementation issues are discussed. The prototype system provides the development of a human-artificial conceptual map for assumptional analysis of strategic scenarios that serve as the basis of selecting relevant information for strategic decision making.

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تاریخ انتشار 2004