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Abstract

Model Driven Development has prompted domain experts to use high-level languages for specifying, testing, verifying and code final application. While Model Driven Development has had a significant contribution to the development of Multi-Agent-Based Simulation, it becomes more and more important to develop appropriate means for representing the multi-disciplinary domain expertise dimension of complex adaptive systems such as deregulated electricity markets. This paper proposes an approach for modeling and simulating agent-based models on the basis of an Ontology-Driven Conceptual Modeling approach in a quite generic scenario for modeling electricity markets. The contribution of this paper is focused on the creation of set of methods, mechanisms and tools to support the design, implementation and experimentation of agent-based models from the instantiation of an ontology-based conceptual modeling.

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