Abstract:
The problem of power supply restoration in the regional distributional power grid after large-scale
accidents is characterized by high combinatorial complexity, heterogeneity, underdetermination, inaccuracy,
and ambiguity. The use of the collective problem solving mechanism to overcome the listed non-factors in
the sense of A. S. Narinyani is impossible due to time constraints. To solve this problem, a new class of
intelligent systems that model collective decision-making under the guidance of a facilitator is proposed,
namely, hybrid intelligent multiagent systems of heterogeneous thinking. Unlike traditional hybrid
intelligent systems that integrate models of expert knowledge, they additionally model group processes and
effects arising from collective problem solving, adapting to the dynamic nature of the problem of restoring
the regional distribution grid. The paper discusses one of the components of such systems, namely, the
protocol for organizing collective heterogeneous thinking of agents.
The reported study was funded by the Russian Foundation for Basic Research according to the research project
No. 18-07-00448А.
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Received: 31.03.2019
Bibliographic databases:
Document Type:
Article
Language: Russian
Citation:
A. V. Kolesnikov, S. V. Listopad, “Heterogeneous thinking protocol of hybrid intelligent multiagent system for solving distributional power grid recovery problem”, Inform. Primen., 13:2 (2019), 76–82
This publication is cited in the following 4 articles:
S. V. Listopad, I. A. Kirikov, “Analiz podkhodov k identifikatsii struktury problemy v gibridnykh intellektualnykh mnogoagentnykh sistemakh”, Sistemy i sredstva inform., 34:3 (2024), 35–47
T. Musaev, S. Shageev, O. Fedorov, Lecture Notes in Electrical Engineering, 729, Advances in Automation II, 2021, 933
S. V. Listopad, S. B. Rumovskaya, “Nechetkoe upravlenie geterogennym myshleniem agentov gibridnoi intellektualnoi mnogoagentnoi sistemy”, Sistemy i sredstva inform., 30:4 (2020), 38–49
Listopad S., “Architecture of the Hybrid Intelligent Multi-Agent System of Heterogeneous Thinking For Planning of Distribution Grid Restoration”, Balt. J. Mod. Comput., 7:4 (2019), 487–499