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start [2019/11/13 17:00]
philippereneviergonin
start [2019/11/13 17:04]
philippereneviergonin
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    * **formalizing and reasoning with users and models** : studying the different types of knowledge-based interactions,​ like interactions with and between users and reasoning with knowledge graphs; topics thus include (graph-based) knowledge representation,​ reasoning, cognitive agents, information integration and fusion, user modeling, ambient intelligence,​ on-line communities and social networks;    * **formalizing and reasoning with users and models** : studying the different types of knowledge-based interactions,​ like interactions with and between users and reasoning with knowledge graphs; topics thus include (graph-based) knowledge representation,​ reasoning, cognitive agents, information integration and fusion, user modeling, ambient intelligence,​ on-line communities and social networks;
    * **scalable software systems** : focusing on models of distributed computation,​ scalability,​ dynamic adaptation and composition of evolutionary software systems.    * **scalable software systems** : focusing on models of distributed computation,​ scalability,​ dynamic adaptation and composition of evolutionary software systems.
-   * **Computer Science and Biology** : Computer science finds in biology an inexhaustible source of new problems and a remarkable field of inspiration. On the one hand, computer science is necessary for pushing forwards the knowledge frontiers in biology using, e.g., ontologies, data mining, knowledge extraction, modelling and simulation of dynamic biological systems, formal proofs about the behaviour of biological systems and more generally model-based reasoning assisted by computers. ​On the other hand, there are countless bio-inspired techniques that have made major research contributions,​ as neuroscience-inspired and genetics-inspired learning techniques.+   * **Computer Science and Biology** : computer science is necessary for pushing forwards the knowledge frontiers in biology using, e.g., ontologies, data mining, knowledge extraction, modelling and simulation of dynamic biological systems, formal proofs about the behaviour of biological systems and more generally model-based reasoning assisted by computers. ​There are also countless bio-inspired techniques that have made major research contributions,​ as neuroscience-inspired and genetics-inspired learning techniques.
  
 The keywords that best describe the areas of interest of the team’s members and their field of activity are the following (sorted by order of importance):​ The keywords that best describe the areas of interest of the team’s members and their field of activity are the following (sorted by order of importance):​
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