A Conceptual Model for Situated Artificial Institutions

Maiquel de Brito 1 Jomi Fred Hübner 1 Olivier Boissier 2
1 UFSC - Universidade Federal de Santa Catarina [Florianópolis]
2 ISCOD-ENSMSE - Département Informatique pour les Systèmes Coopératifs Ouverts et Décentralisés
Abstract : Artificial institutions have been proposed to regulate the acting of the agents in open multi-agent systems (MAS). They are composed of abstractions such as norms, roles, goals, etc. In this paper, we say that an artificial institution is situated when the whole regulation that it performs is based on facts occurring in the environment where agents act. The conceiving of situated institutions is challenging as it requires to situate all abstractions possibly involved in the MAS regulation considering their different natures, semantics, life cycles, etc. This work introduces a conceptual model of a situated artificial institution (SAI), structured along two axes: norms and constitutive rules. While norms are based on status functions, the constitutive rules allow a SAI model to clearly state the conditions for an element of the environment to carry a status function. From a first version of a SAI specification language based on this conceptual model, we discuss its features and illustrate its dynamics through examples.
Mots-clés : institutions norms status functions constitutive rules situatedness
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https://hal-emse.ccsd.cnrs.fr/emse-01055256
Contributor : Florent Breuil <>
Submitted on : Tuesday, August 12, 2014 - 9:20:21 AM
Last modification on : Thursday, October 17, 2019 - 12:36:11 PM

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EMSE | FAYOL-ENSMSE | ISCOD-ENSMSE | TDS-MACS | INSTITUT-TELECOM

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Maiquel de Brito, Jomi Fred Hübner, Olivier Boissier. A Conceptual Model for Situated Artificial Institutions. Nils Bulling, Leendert van der Torre, Serena Villata, Wojtek Jamroga, Wamberto Vasconcelos. Computational Logic in Multi-Agent Systems : 15th International Workshop, CLIMA XV, Prague, Czech Republic, August 18-19, 2014. Proceedings, Springer, pp 35-51, 2014, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-09764-0_3⟩. ⟨emse-01055256⟩

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