Architecture of an Institutional Platform for Multi-Agent Systems

Maiquel De Brito 1 Jomi Fred Hübner 2 Olivier Boissier 3, 4
1 Federal Institute of Education, Science and Technology of Rio Grande do Sul
2 UFSC - Universidade Federal de Santa Catarina [Florianópolis]
3 LHC - Laboratoire Hubert Curien [Saint Etienne]
4 FAYOL-ENSMSE - Département Informatique et systèmes intelligents
Abstract : Artificial institutions usually consider that the regulation of the behaviour of the agents is expressed by norms that refer to an institutional reality, that is an institutional interpretation of the environment in which the agents are situated. To be applied on real systems, however, artificial institutions need to advance from the theory to the practice. Such step requires to conceive the institutional platform components that are in charge of building the institutional reality used in the normative regulation of the system. Such components must be connectable to the heterogeneous elements composing the environment and must also be able to accommodate the different normative platforms that regulate the system. This paper proposes the architecture of an institutional platform having these features. It is shown also how the proposed institutional platform can be linked to environmental and normative ones.
Keywords : Institutions Constitutive rules Situatedness Norms
Type de document :
Communication dans un congrès
An B., Bazzan A., Leite J., Villata S., van der Torre L. PRIMA 2017: Principles and Practice of Multi-Agent Systems, Oct 2017, Nice, France. Springer, 10621, pp.313-329, 2017, Lecture Notes in Computer Science. 〈10.1007/978-3-319-69131-2_19〉
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https://hal-emse.ccsd.cnrs.fr/emse-01639507
Contributeur : Florent Breuil <>
Soumis le : lundi 20 novembre 2017 - 13:53:15
Dernière modification le : jeudi 26 juillet 2018 - 01:11:00

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EMSE | FAYOL-ENSMSE | ISCOD-ENSMSE | TDS-MACS | UNIV-ST-ETIENNE | IOGS | PARISTECH | UNIV-PARIS-SACLAY

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Maiquel De Brito, Jomi Fred Hübner, Olivier Boissier. Architecture of an Institutional Platform for Multi-Agent Systems. An B., Bazzan A., Leite J., Villata S., van der Torre L. PRIMA 2017: Principles and Practice of Multi-Agent Systems, Oct 2017, Nice, France. Springer, 10621, pp.313-329, 2017, Lecture Notes in Computer Science. 〈10.1007/978-3-319-69131-2_19〉. 〈emse-01639507〉

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