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In this paper we propose a multiagent framework for group multicriteria classification. We present in particular the classification of organizational knowledge problem. The idea is to identify knowledge that should be preserved and valorized in the organization. Our approach is based on a multiagent theory to represent classification actors by intelligent agents that communicate autonomously in order...
Learning ecosystem is a coherent set of training biocenes that promotes collaborative learning and allows exchanging and sharing of knowledge and/or skills for succeeding in a common project. Learning ecosystems have changed the learning mode. Nowadays, the customers (the learners in our case) teach us what they want, hence, training can become the pilot of this change. The collaborative environment...
Smart City is a concept for which no standard definition has been adopted either in theoretical researches or in empirical projects. Several definitions and classifications, different from each other, have been proposed. However, all definitions agree on the fact that a smart city is an urban space that tends to improve the daily life (work, school, etc.) of its citizens (broadly defined). This is...
Users leave traces when they participate in activities in a collaborative digital environment. These traces in return offer a clue for recommending a user by competency on a subject. This mechanism helps further collaboration because knowing the specialization of users ameliorates distributing tasks reasonably. In this article we propose a semantic model containing activity, trace of interaction and...
In this paper, an argumentation based method for collaborative decision making is introduced. Each group member can submit arguments to support or attack the potential solutions (or alternatives). Extra information, expressed as constraints and preferences, regarding the members' requirements is added in order to ensure the obtaining of more satisfying decisions. The IBIS model is used to capture...
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