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Integrating Model-Driven Engineering as the Next Challenge for Artificial Intelligence – Application to Risk and Crisis Management

Abstract : Artificial Intelligence (AI) is currently on top of the hype regarding simultaneously research publications and industrial development. However, the current status of AI makes it quite far and different from the current understanding of Human intelligence. One suggestion that is made in this article is that Model-Driven approaches could be considered as an interesting avenue to complement classical visions of AI and to provide some missing features. Specifically, the use of Model-Driven Engineering tools (such as metamodel and model transformation) could benefit to the domain of AI by introducing a way to extend the apprehension of unknown situations. To support that proposal, an illustrative example is provided regarding the domain of risk and crisis management.
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Submitted on : Monday, January 18, 2021 - 4:50:11 PM
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Frederick Benaben, Matthieu Lauras, Audrey Fertier, Nicolas Salatge. Integrating Model-Driven Engineering as the Next Challenge for Artificial Intelligence – Application to Risk and Crisis Management. WSC 2019 - Winter Simulation Conference, Dec 2019, National Harbor, United States. pp.1549-1563, ⟨10.1109/WSC40007.2019.9004828⟩. ⟨hal-02493057⟩

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