Agent-Based Modeling and Simulation of Multi-organizational Interactions in International Trade

Abstract

Agent-based simulation is an important methodology for analysis and evaluation of multi-organizational interactions, as it has the advantages of describing complex relations between entities in dynamic environments. However, an effective simulation design requires a systematic way of modeling organizational interactions to make sure that the integrated interaction processes reflect the essential properties of the real-life system. OperA+, an agent-based organization modeling framework, due to its capability for analysis and communication of organizational knowledge at multiple abstraction levels in multiple contexts, provides a basis for agent-based simulation design used for policy analysis. In this paper, we demonstrate how OperA+ can be used to assist a simulation design by a scenario study in regulated international trades. The aim is to evaluate a new policy authorizing private companies to regulate themselves on behalf of governmental authorities.