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
Document type :
Conference papers
Complete list of metadatas
https://hal-emse.ccsd.cnrs.fr/emse-01639507
Contributor : Florent Breuil <>
Submitted on : Monday, November 20, 2017 - 1:53:15 PM
Last modification on : Tuesday, April 2, 2019 - 2:27:28 AM

Identifiers

Collections

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

Citation

Maiquel de Brito, Jomi Fred Hübner, Olivier Boissier. Architecture of an Institutional Platform for Multi-Agent Systems. PRIMA 2017: Principles and Practice of Multi-Agent Systems, Oct 2017, Nice, France. pp.313-329, ⟨10.1007/978-3-319-69131-2_19⟩. ⟨emse-01639507⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

626

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD