Yoann Kubera

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This paper deals with the software architecture for individual-centered simulations, i.e. involving many entities interacting together. Many software architectures have been developped in this context, especially many advanced – but domain specific – frameworks. Yet those frameworks imply tight software dependencies between agents, behaviors and action(More)
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In order to ensure simulations reproducibility, particular attention must be payed to the specification of its model. This requires adequate design methodolo-gies, that enlightens modelers on possible implementation ambiguities – and biases 1 – their model might have. Yet, because of not adapted knowledge representation, current reactive simulation design(More)
The design of multiagent simulations devoted to complex systems, addresses the issue of modelling behaviors that are involved at different space, time, behavior scales, each one being relevant to represent a feature of the phenomenon. We propose here a generic formalism intented to represent multiple environments, endowed with their own spatiotemporal(More)
How to ensure that two different implementations of a simulation will produce the same results ? In order to assure simulation reproducibility, some domain-independent functional unit must be precisely described. We show in this paper that the management unit that rules the participation of an agent in simultaneous interactions is one of them. Usually, many(More)
The usual way to design a simulation of a given phenomenon is to first build a model and then to implement it. The study of the simulation and its outcomes tells if the model is adequate and can explain the phenomenon. In this paper, we reverse this process by building a browser in simulations space: we study an automatically built simulation to understand(More)
To ensure multi-agent based simulation models reproducibility, particular attention must be payed on its possible implementation ambiguities. This concerns every aspect of simulation's architecture, including how the agent selects the actions it performs, and on which agents it is performed. On this point, classical agent-centered design methodologies leave(More)