一种反应型多智能体系统行为规范方法

Abdelhay Haqiq, B. Bounabat
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引用次数: 0

摘要

响应式多智能体系统(Reactive Multi-Agent system, RMAS)已成为设计和实现分布式和协作系统的一种有吸引力的技术。军事管理局面临的主要挑战是如何清楚地识别其本地和全球行为。介绍了几种处理rma行为规范的方法。然而,在规范和验证过程中缺乏从系统期望实现的目标识别到系统属性的正式验证来促进对系统的理解。本文通过考虑正常模式和容错模式两种规范模式,研究了反应性多智能体系统(Reactive Multi-Agent System, RMAS)中个体和集体行为的规范问题。为此,我们提出了一种名为BECAMEDA(基于E-MDRA的RMAS行为规范和验证)的方法,用于基于MDRA (Multi-Decisional reactive Agent)模型的反应性多智能体系统的规范和验证。MDRA通过突出显示代理的决策方面来指定反应性代理行为。BECAMEDA方法将通过一个汽车危机管理的例子来描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards an approach for behavioral specification of reactive multi-agent system
Reactive Multi-Agent system (RMAS) has emerged as an attractive technology for the design and implementation of distributed and cooperative systems. The RMAS main challenge is how to clearly identify its local and global behavior. Several approaches have been introduced to deal with behavioral specification of RMAS. However, there is a lack in the specification and verification process that facilitates understanding the system from goals identification that the system expects to achieve to formal verification of system properties. In this paper, we are interested to the specification problem of Reactive Multi-Agent System (RMAS) for both individual and collective behavior by taking into account two modes of specification: normal mode and fault-tolerance mode. To do so, we propose a method called BECAMEDA (Behavioral SpEcification and VerifiCAtion of RMAS based on E-MDRA) for the specification and verification of reactive Multi-agent system based on the MDRA (Multi-Decisional Reactive Agent) models. The MDRA specifies the reactive agent behavior by highlighting the decisional aspect of the agent. The BECAMEDA method will be described throughout an example of Car Crisis Management.
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