CAmIE: An Agent-Based Model for the Development of Large-Scale AmI Environments

Abstract : This work introduces CAmIE, an agent-based model for the bottom-up development of large-scale AmI environments. It offers tools to easily develop AmI applications and, while not visible to the users, it assures the interactions between these applications at runtime, enhancing them with a highly intelligent behavior. A series of distribution platforms as well as a collection of shared knowledge libraries are used, to motivate the human actors to contribute, leading, thus, to environments that integrate in the best possible way their collective intelligence.
Type de document :
Communication dans un congrès
AmI 2015 - European Conference on Ambient Intelligence 2015, Nov 2015, Athens, Greece. 2015, AmI-2015 Adjunct Proceedings. 〈http://www.ami-conferences.org/2015/〉
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https://hal.sorbonne-universite.fr/hal-01279714
Contributeur : Marius-Tudor Benea <>
Soumis le : vendredi 26 février 2016 - 17:27:57
Dernière modification le : jeudi 21 mars 2019 - 13:06:27

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  • HAL Id : hal-01279714, version 1

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Marius-Tudor Benea, Amal El Fallah Seghrouchni, Adina Magda Florea. CAmIE: An Agent-Based Model for the Development of Large-Scale AmI Environments. AmI 2015 - European Conference on Ambient Intelligence 2015, Nov 2015, Athens, Greece. 2015, AmI-2015 Adjunct Proceedings. 〈http://www.ami-conferences.org/2015/〉. 〈hal-01279714〉

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