Titre:m o e x: evolving knowledge
La description :research people papers teaching -- join us cooperation software applications -- transfer |-- seminars ? m o e x evolving knowledge human beings are apparently able to communicate knowledge. however, i...
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L'adresse IP principale: 194.199.18.219,Votre serveur France,Grenoble ISP:Reseau de l\'Unite de Recherche Rhone-Alpes de l\'INRIA TLD:fr Code postal:fr
Ce rapport est mis à jour en 13-May-2019
Created Date: | 1995-01-01 |
Changed Date: | 2017-08-01 |
Expires Date: | 2017-12-31 |
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Latitude: | 45.16667175293 |
Longitude: | 5.7166700363159 |
Pays: | France (fr) |
Ville: | Grenoble |
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ISP: | Reseau de l\'Unite de Recherche Rhone-Alpes de l\'INRIA |
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cname: | moex.inrialpes.fr. |
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research people papers teaching -- join us cooperation software applications -- transfer |-- seminars ? m o e x evolving knowledge human beings are apparently able to communicate knowledge. however, it is impossible for us to know if we share the same representation of knowledge. moex addresses the evolution of knowledge representations in individuals and populations. we deal with software agents and formal knowledge representation. the ambition of the moex project is to answer, in particular, the following questions: how do agent populations adapt their knowledge representation to their environment and to other populations? how must this knowledge evolve when the environment changes and new populations are encountered? how can agents preserve knowledge diversity and is this diversity beneficial? we study them chiefly in a well-controlled computer science context. for that purpose, we combine knowledge representation and cultural evolution methods. the former provides formal models of knowledge; the latter provides a well-defined framework for studying situated evolution. we consider knowledge as a culture and study the global properties of local adaptation operators applied by populations of agents by jointly: experimentally testing the properties of adaptation operators in various situations using experimental cultural evolution, and theoretically determining such properties by modelling how operators shape knowledge representation. we aim at acquiring a precise understanding of knowledge evolution through the consideration of a wide range of situations, representations and adaptation operators. this 180-seconds talk (in french with subtitles) summarises this for a wide audience. we are looking for phd candidates to start october 2019. do not hesitate to contact us. member team of the umr 5217 laboratoire d'informatique de grenoble http://moex.inria.fr/ © inria & uga, 2016-2019
http://moex.inria.fr/papers/static/bibexmo.pdf
https://moex.inria.fr/~euzenat/JE.xml
http://moex.inria.fr/seminars/
https://moex.inria.fr/~euzenat/JE-type.html
https://moex.inria.fr/~euzenat/euzenatj.ics
https://moex.inria.fr/cooperation/index.html
https://moex.inria.fr/~euzenat/policy.html
http://moex.inria.fr/training/
http://moex.inria.fr/training/2019-Th-ontoevocom.html
http://moex.inria.fr/~euzenat/
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DNS-EXT2.INRIA.FR 193.51.193.133
DNS.CS.WISC.EDU 128.105.2.10
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