Agent-based modeling has proven to be a natural way to express various types of problems or situations. Some research has focused on the analysis and design of agent models, but little has truly addressed the need for automated assistance when creating agent-based models from the initial problem comprehension. This paper proposes an approach addressing this gap and supporting the iterative process of generating executable agent models. In particular, this approach enables the incremental conceptual representation of a problem and the development of agent models. This paper presents how to develop an agent-based model using a predefined generic Scenarization Vocabulary. It then describes the technical approach that was chosen in order to exploit the initial conceptual design and facilitate the development of models by eliminating software development technicalities. This approach is part of a broader research effort known as IMAGE, which proposes a toolset supporting collaborative understanding of complex situations.
['François Rioux', 'Michel Lizotte']
Image-scenarization: from conceptual models to executable simulation