CAmI: An Agent Oriented-Language for the Collective Development of AmI Environments

Abstract : This paper presents CAmI, an agent oriented programming language for the development of ambient intelligence applications and for the further integration of the developed applications into complex, large-scale, AmI environments. The presented language is easy to learn and understand, modular and it offers many advantages that make it suited for the field of AmI, like the agent-oriented approach used, an intrinsic representation and use of the context, integration of various knowledge representation formalisms, independence from any computing platform, integration with function libraries written in other languages and, most important, features that facilitate the emergence of collective intelligence in the AmI environments, built in a bottom-up manner using CAmI.
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Communication dans un congrès
The 20th International Conference on Control Systems and Computer Science (CSCS20-2015), May 2015, Bucharest, Romania. IEEE, Control Systems and Computer Science (CSCS), 2015 20th International Conference on, pp.749-756, 2015, 〈http://cscs20.acs.pub.ro/〉. 〈10.1109/CSCS.2015.136〉
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https://hal.sorbonne-universite.fr/hal-01187189
Contributeur : Marius-Tudor Benea <>
Soumis le : mercredi 26 août 2015 - 12:22:39
Dernière modification le : jeudi 21 mars 2019 - 12:59:24

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Marius Tudor Benea, Adina Magda Florea, Amal El Fallah Seghrouchni. CAmI: An Agent Oriented-Language for the Collective Development of AmI Environments. The 20th International Conference on Control Systems and Computer Science (CSCS20-2015), May 2015, Bucharest, Romania. IEEE, Control Systems and Computer Science (CSCS), 2015 20th International Conference on, pp.749-756, 2015, 〈http://cscs20.acs.pub.ro/〉. 〈10.1109/CSCS.2015.136〉. 〈hal-01187189〉

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