Systems and Means of Informatics

2019, Volume 29, Issue 3, pp 139-148

MODELING OF AGENT CONFLICTS IN HYBRID INTELLIGENT MULTIAGENT SYSTEMS

S. V. Listopad
I. A. Kirikov

Abstract

Conflict management is an integral part of the problem solving process by expert team at the round table, encouraging of conflicts that positively influence the course of solving the problem and preventing or resolving all others.
The existing models of hybrid intelligent multiagent systems have a significant drawback, which is that they do not model agent conflicts and a single agent based on recommendations of other agents makes final decisions. Modeling of conflicts in hybrid intelligent multiagent systems will make it possible to manage the "discussion" process, activating various types of collective thinking depending on the nature and intensity of the conflict, which will ensure their relevance to small teams of experts who successfully solve problems, which are underdetermined, characterized by a high combinatorial complexity, heterogene-ity, and other NON-factors. For this purpose, the paper proposes a model of problem and process oriented conflict in hybrid intelligent multiagent systems.

[+] References (18)

Kolesnikov, A.V. 2001. Gibridnye intellektual'nye sistemy. Teoriya i tekhnologiya razrabotki [Hybrid intelligent systems: Theory and technology of development]. St. Petersburg: SPbGTU Publs. 711 p.
Kirikov, I. A., A.V. Kolesnikov, S. V. Listopad, and S.B. Rumovskaya. 2016. "Virtual'nyy konsilium" - instrumental'naya sreda podderzhki prinyatiya slozhnykh diag- nosticheskikh resheniy ["Virtual council" - source environment supporting complex diagnostic decision making]. Informatika i ee Primeneniya - Inform. Appl. 10(3):81- 90.
Kolesnikov, A. V., I. A. Kirikov, and S. V. Listopad. 2014. Gibridnye intellektual'nye sistemy s samoorganizatsiey: koordinatsiya, soglasovannost', spor [Hybrid intelligent systems with self-organization: Coordination, consistency, dispute]. Moscow: IPI RAN. 189 p.
Kolesnikov, A. V., and S. V. Listopad. 2018. Model' gibridnoy intellektual'noy mnogoagentnoy sistemy geterogennogo myshleniya dlya informatsionnoy podgotovki opera- tivnykh resheniy v regional'nykh elektricheskikh setyakh [Model of a hybrid intelligent multiagent system of heterogeneous thinking for preparation of information about operational decisions in a regional power system]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 28(4):31-41.
Sidorenkov, A.V. 2008. Konflikt v maloy gruppe: ponyatie, funktsii, vidy i model' [Conflict in a small group: Concept, functions, forms and model]. Severo-Kavkazskiy psikhologicheskiy vestnik [North-Caucasian Psychological J.] 6(4):22-28.
Grishina, N. V. 2008. Psikhologiya konflikta [Psychology of conflict]. 2nd ed. St. Petersburg: Piter. 544 p.
Tarasov, V.B. 2002. Ot mnogoagentnykh sistem k intellektualnym organizatsiyam: filosofiya, psikhologiya, informatika [From multiagent systems to intelligent organizations: Philosophy, psychology, and informatics]. Moscow: Editorial URSS. 352 p.
Ponyatiya maloy gruppy i kollektiva [The concepts of a small group and a team]. Available at: http://azps.ru/articles/soc/soc96.html (accessed July 25, 2019).
Andreeva, G. M. 1996. Sotsial'naya psikhologiya [Social psychology]. Moscow: Aspekt Press. 342 p.
Antsupov, A.Ya., and A. I. Shipilov. 1996. Konfliktologiya: teoriya, istoriya, biblio- grafiya [Conflictology: Theory, history, bibliography]. Moscow: Dom Sovetov. 143 p.
Emel'yanov, S. M. 2009. Praktikumpo konfliktologii [Practicum on conflictology]. 3rd ed. St. Petersburg: Piter. 384 p.
Zankovskiy, A. N. 2002. Organizatsionnaya psikhologiya [Organizational psychology]. Moscow: Flinta: MPSI. 648 p.
Latfullin, G. R., and O. N. Gromova, eds. 2004. Organizatsionnoe povedenie [Organi-zational behavior]. St. Petersburg: Piter. 432 p.
Kaner, S., L. Lind, C. Toldi, S. Fisk, and D. Beger. 2011. The facilitator's guide to participatory decision-making. San Francisco, CA: Jossey-Bass. 368 p.
Kolesnikov, A. V., and S. V. Listopad. 2019. Hybrid intelligent multiagent system of heterogeneous thinking for solving the problem of restoring the distribution power grid after failures. Open Semantic Technologies for Intelligent Systems: Research Papers Collection. Minsk. 133-138.
Bana e Costa, C. 2001. The use of multi-criteria decision analysis to support the search for less conflicting policy options in a multi-actor context: Case study. J. Multi-Criteria Decision Analysis 10(2): 111-125.
Fasth, T., A. Larsson, L. Ekenberg, and M. Danielson. 2018. Measuring vonflicts using cardinal ranking: An application to decision analytic conflict evaluations. Advances Oper. Res. Article ID 8290434. 14 p.
Serugendo, G. D. M., M.-P. Gleizes, and A. Karageorgos. 2005. Self-organization in multiagent systems. Knowl. Eng. Rev. 20(2): 165-189.

[+] About this article