Providing contextual norm information in open multi-agent systems

Autor: Amal El Fallah Seghrouchni, Ricardo Choren, Caroline Chopinaud, Carlos José Pereira de Lucena, Carolina Howard Felicíssimo, Jean-Pierre Briot
Přispěvatelé: Systèmes Multi-Agents (SMA), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2008
Předmět:
Zdroj: Agent Oriented Information Systems IV: Proc. of the 8th International Bi-Conference Workshop, AOIS 2008
Agent Oriented Information Systems IV: Proc. of the 8th International Bi-Conference Workshop, AOIS 2008, 4898, Springer-Verlag, pp.19-36, 2008, Lecture Notes in Artificial Intelligence, 978-3-540-77989-6. ⟨10.1007/978-3-540-77990-2_2⟩
Lecture Notes in Computer Science ISBN: 9783540779896
AOIS
Popis: International audience; Agents can freely migrate among open MASs in order to obtain resources or services not found locally. In this scenario, agent actions should be guided for avoiding unexpected behaviour. However, open MASs are extremely dynamic and, thus, a solution for guiding agent actions is non-trivial. This work details DynaCROM, our solution for continuously supporting agents in open MASs with updated norm information. The main asset of DynaCROM is that it decreases the complexity of norm representation by using contexts. DynaCROM proposes (i) a top-down modelling of contextual norms, (ii) an ontology to explicitly represent norm semantics and (iii) a rule inference engine to customize different compositions of contextual norms. Thus, DynaCROM offers a solution for both developers to enhance their open MASs with norm information and agents to be continuously supported with precise norm information.
Databáze: OpenAIRE