Bringing Constitutive Dynamics to Situated Artificial Institutions

Maiquel De Brito 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 : The Situated Artificial Institution (SAI) model, as proposed in the literature, conceives the regulation of Multi-Agent Systems as based on a constitutive state that is consequence of the institutional interpretation of facts issued by the environment. The different nature of these facts (e.g. past sequence of events, states holding) implies various dynamic behaviours that need to be considered to properly define the life cycle of the constitutive state. This paper aims to bring such a dynamic to SAI. It defines a formal apparatus (i) for the institutional interpretation of environmental facts based on constitutive rules and (ii) for the management of the resulting constitutive state.
Type de document :
Chapitre d'ouvrage
Francisco Pereira; Penousal Machado; Ernesto Costa; Amílcar Cardoso. Progress in Artificial Intelligence : 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings, 9273, Springer, pp 624-637, 2015, Lecture Notes in Computer Science, 978-3-319-23484-7. 〈10.1007/978-3-319-23485-4_63〉. 〈http://link.springer.com/book/10.1007/978-3-319-23485-4〉
Liste complète des métadonnées
https://hal-emse.ccsd.cnrs.fr/emse-01202630
Contributeur : Florent Breuil <>
Soumis le : lundi 21 septembre 2015 - 14:41:54
Dernière modification le : mardi 23 octobre 2018 - 14:36:09

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Maiquel De Brito, Jomi Fred Hübner, Olivier Boissier. Bringing Constitutive Dynamics to Situated Artificial Institutions. Francisco Pereira; Penousal Machado; Ernesto Costa; Amílcar Cardoso. Progress in Artificial Intelligence : 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings, 9273, Springer, pp 624-637, 2015, Lecture Notes in Computer Science, 978-3-319-23484-7. 〈10.1007/978-3-319-23485-4_63〉. 〈http://link.springer.com/book/10.1007/978-3-319-23485-4〉. 〈emse-01202630〉

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