Role-Based Induced Social Norms in Computational Multi-Agent Systems

0482905 - ÚI 2018 RIV HK eng C - Konferenční příspěvek (zahraniční konf.)
Neruda, Roman - Kazík, O.
Role-Based Induced Social Norms in Computational Multi-Agent Systems.
World Congress on Engineering and Computer Science. Hong Kong: Newswood Limited, 2011 - (A., S.; Douglas, C.; Grundfest, W.; Burgstone, J.), s. 437-442. Lecture Notes in Engineering and Computer Science, 2193. ISBN 978-988-18210-9-6. ISSN 2078-0958.
[WCECS 2011- ICSCA 2011. International Conference on Soft Computing and Applications. San Francisco (US), 19.10.2011-21.10.2011]
Grant CEP: GA MŠMT(CZ) 1M0567
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: role model * description logic * integrity constraints * computational intelligence
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://www.iaeng.org/publication/WCECS2011/WCECS2011_pp437-442.pdf

Role-based frameworks enrich multi-agent system models with new organizational concepts: roles and groups. We present a formalization of a role-based approach in description logics serving as the common organizational model both for the development process and the management of the system. A central authority of role ontology agent is proposed in this paper. This agent performs management of the system: keeping track of the actual state of the system, querying the model and checking its social norms. Agents in the system can thus act in a sociable way especially in complicated configurations. Algorithms controlling agents in a computational intelligence modeling scenario are shown.
Trvalý link: http://hdl.handle.net/11104/0278299