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Classification of Interaction Participants in the Formation of the Trajectory of Diagnosis and Treatment of Bronchopulmonary Diseases to Design Agents of a Multi-agent System
Yusupova, N., Zulkarneev, R., Rizvanov, D., Nasyrov, R., Bogdanova, D.
this problem it is proposed to use a multi-agent approach. This approach will take into account clinical
Multi-agent system for intelligent scheduling
Alooeff, E., Adzinets, D.
of the current scheduling models on the market are centralized. This paper exposes a way to use a multi agent
Multi-Agent Logics with Multi-Valuations and Intensional Logical Operations
Рыбаков, Владимир Владимирович
relational temporal models with multi-valuations { the models have separate valuations for all agents. We
Agent Interaction Protocol of Hybrid Intelligent Multi-Agent System of Heterogeneous Thinking
Listopad, S. V., Листопад, С. В.
facilitator, namely hybrid intelligent multi-agent systems of heterogeneous thinking. The paper proposes
А hybrid agent-centric and scene-centric approach for multi-agent trajectory prediction
Tang Yi, German, O. V.
with complex multi-agent interactions. In this paper, we propose a hybrid approach that leverages the strengths
Семантическое определение типа агента в многоагентной системе. Проблема межагентного взаимодействия
Мутовкина, Н. Ю., Клюшин, А. Ю., Кузнецов, В. Н.
to the definition of the type of intelligent agents and the status of the multi- agent system, based
Comparison of simulation and analytical models for the distribution of a group of agents moving in random directions
Kuznetsov, A. V., Shishkina, E. L., Rataj, M.
This study focused on simulation and analytical models of a multidimensional random walk of many
Intellectual model control data of the module integration SAP-ERP and Teamcenter PLM
Simonova L., Khisamutdinov M.
on multi-agent system and knowledge base. Developed structure and functional model of the integration
Intellectual model control data of the module integration SAP-ERP and Teamcenter PLM
Simonova L., Khisamutdinov M.
on multi-agent system and knowledge base. Developed structure and functional model of the integration
Method for Evaluating the Hybrid Intelligent Multi-Agent System’s Cohesion: Consistency of the Problem-Solving Protocol
Kirikov, I., Listopad, S. V.
, namely, cohesive hybrid intelligent multi-agent systems. The concept of such systems was proposed

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