Model for Verification of Agent Commutations of Distributed Multiagent Systems

O. Martynyuk, Oleksandr Drozd, A. Sachenko, H. Stepova, Bui Van Thuong, D. Martynyuk
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Abstract

The development of multi-agent technologies and their widespread implementation in distributed computer systems is due to the properties of autonomy, mobility, intelligence and cooperativity, which provide power and flexibility in solving distributed, dynamic, fuzzy problems. At the same time, it is precisely these characteristic properties of multi-agent systems, that require special measures to ensure their operability and reliability of functioning, especially in the case of critical use. The proposed model for verifying the properties of dynamic communication is based on extended Petri nets and automata behavioral check and recognition experiments. Verification of two-tier and multi-tier communications of arbitrary spatial and temporal topology includes behavioral check of the mechanisms of conditions, preparation, transmission, buffering, broadcasting, taking into account probabilistic-temporal, group and concurrent characteristics. The verification model of agent commutation is designed to determine the conditions for analyze, check and recognizing of agent interactions in diagnostic methods for distributed multi-agent systems and allows to reduce the computational complexity of analysis, check and recognition of behavior of multi-agent systems.
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分布式多智能体系统中智能体交换验证模型
多智能体技术的发展及其在分布式计算机系统中的广泛应用是由于其自主性、移动性、智能性和协同性,为解决分布式、动态、模糊问题提供了强大的能力和灵活性。同时,正是多智能体系统的这些特性,需要采取特殊措施来确保其可操作性和功能的可靠性,特别是在关键使用的情况下。所提出的验证动态通信特性的模型是基于扩展Petri网和自动机行为检查和识别实验。对任意时空拓扑的两层和多层通信的验证包括对条件、准备、传输、缓冲、广播机制的行为检查,同时考虑到概率-时间、群和并发特性。为了确定分布式多智能体系统诊断方法中智能体交互分析、检查和识别的条件,设计了智能体交换验证模型,降低了多智能体系统行为分析、检查和识别的计算复杂度。
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