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Gestion des connaissances lors d’un processus collaboratif de créativité

Abstract : This research work aims to propose a creative support system according to a multi-agent architecture in order to manage the knowledge needed and produced during a creative workshop. This work contributes to the scientific research with regard to various aspects. Beforehand designing any system, a review of the current creative supports systems is carried out in order to determine their limits concerning the creative process and collaboration mode. To fix these limits, a knowledge engineering approach is adopted. It implies that creativity is considered as a collaborative and organizational process in order to infere its activities, but also competences and knowledge required to realize these activities. This information permits to better assist individuals in their activities. Based on this organizational modeling of a creative workshop, the organization of computational agents that would contribute to manage knowledge is deduced. Based on the same modeling, creative workshop ontology is created in order to provide a representation of the environment and shared knowledge to agents. Multi-agent architecture for creative support system permits to explore new knowledge processing approach notably for idea evaluation. An idea evaluation methodology based on multi-criteria analysis methods is suggested. In addition to this methodology, automatic idea processing based on naturel language processing is experimented in order to assist evaluators. The meaning of this research work is in the generalization of emergent creative practices as open innovation and creative workshops in organizations and companies
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Submitted on : Wednesday, May 31, 2017 - 12:54:22 PM
Last modification on : Wednesday, May 25, 2022 - 10:50:02 AM
Long-term archiving on: : Wednesday, September 6, 2017 - 4:14:20 PM


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  • HAL Id : tel-01529769, version 1



Alex Gabriel. Gestion des connaissances lors d’un processus collaboratif de créativité. Système multi-agents [cs.MA]. Université de Lorraine, 2016. Français. ⟨NNT : 2016LORR0209⟩. ⟨tel-01529769⟩



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