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Abstract <p>The article considers the functional and structural organization of the adaptive multi-agent intelligent system designed to solve complex problems in an uncertain and dynamic environment. It describes the mathematical model of intelligent software agents, multi-agent deep reinforcement learning algorithms, and the distributed knowledge base management system that can adapt to changing conditions and respond appropriately to situations that arise when there are not enough computing resources.</p>

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Architecture, Analysis, and Design of the Adaptive Multi-Agent Intelligent System

  • 期刊论文

  • 发表日期：

    2026年7月20日

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  • E. I. Zaytsev,
  • E. V. Nurmatova

摘要

Abstract

The article considers the functional and structural organization of the adaptive multi-agent intelligent system designed to solve complex problems in an uncertain and dynamic environment. It describes the mathematical model of intelligent software agents, multi-agent deep reinforcement learning algorithms, and the distributed knowledge base management system that can adapt to changing conditions and respond appropriately to situations that arise when there are not enough computing resources.