Space is a matter of distance between social objects. The following article is based on the "agencement" concept seen as a framework to formalize new projects territories. The area of research is PARIS-SACLAY Campus, which views the sitting of a world science cluster. The agencements are modelized by means of mereology and simplicial complexes. Its objective is to offer new decision-making tools to urban actors.
QUELLE RECHERCHE SUR ET POUR L'INNOVATION PÉDAGOGIQUEHugues Choplin et al.
Lavoisier | Distances et savoirs
2007/4 -Vol. 5 pages 483 à 505 ISSN 1765-0887Article disponible en ligne à l'adresse:
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RÉSUMÉ. Cet article propose de questionner les pratiques de recherche portant sur les processus d'innovation pédagogique à l'aune de certains concepts décrivant ces processus eux-mêmes. Il procède en deux temps principaux. Tout d'abord, nous explicitons les forces, mais aussi les insuffisances des modèles de la recherche-action et du praticien réflexif
Abstract. Today, telecoms operators have to prove their innovation capacity. They address corporate customers which are involved in collaborative value networks. They implement a process of new services research in order to create adapted solutions. This process is linked to a collaborative and complex practice between diverse innovators. However there is no structured method to leverage this community's knowledge. Based on the SSME 1 discussions, we suggest enriching the telecoms innovation approaches by the representation and the simulation of "services systems". This paper also proposes the development of a collaborative tool to support this suggestion and the innovators' practices. Our approach is currently tested on a specific telecom service in the e-health domain which presents an interesting business ecosystem.
International audienceCrisis management challenges decision support systems designers. One problem in the decision marking is developing systems able to help the coordination of the different involved teams. Another challenge is to make the system work with a degraded communication infrastructure. Each workstation or embedded application must be designed such as potential decisions made trought other workstations are treated as eventualities. We propose in this article a multi-agent model, based on an ant colony optimization algorithm, and designed to manage the inherent complexity in the deployment of resources used to solve a crisis. This model manages data uncertainty. Its global goal is to optimize in a stable way fitness functions, like saving lives. Moreover, thanks to a reflexive process, the model manages the effects of its decisions into the environment to take more appropriate decisions. Thanks to our transactional model, the system takes into account a large data amount and finds global optimums without exploring all potential solutions. In perspective, users will have to define rules database thanks to an adapted graphical interface. %Each rule associates, for each potential event, a goal with its fitness functions, and a list of possible tasks to do. Then, if the nature of the crisis is deeply unchanged, users should be able to change rules' databases
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