Minh Nguyen-Duc

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Models of human behaviours used in multi-agent simulations are limited by the ability of introspection of the social actors: some of their knowledge (reflexes, habits, non-formalized expertise) cannot be extracted through interviews. In this paper, we propose an artificial maieutic approach to extract such pieces of knowledge, by helping the actors to(More)
In social science, the role of stakeholders is increasing in the development and use of simulation models. Their participation in the design of agent-based models (ABMs) has widely been considered as an efficient solution to the validation of this particular type of model. Traditionally, "agents" (as basic model elements) have not been concerned with(More)
Since critical socio-technical systems include people interacting with equipments in workplaces, their intrinsic reliability problems have been concerned with both these two " actors ". Air Traffic Control (ATC) is going to be such a system in which controllers use a large number of distributed software tools to provide safety ATC services. The reliability(More)
Differential games (DGs), considered as a typical model of game with continuous states and non-linear dynamics, play an important role in control and optimization. Finding optimal/approximate solutions for these game in the imperfect information setting is currently a challenge for mathematicians and computer scientists. This article presents a multi-agent(More)
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