目标网模型的自动验证

M. Ngo, Zhiqi Shen, C. Miao
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引用次数: 0

摘要

多智能体系统越来越复杂,其验证问题也越来越重要。现有的大多数方法都是基于模型检查技术,这需要用形式语言对系统进行规范。这是一个容易出错的任务,只能由在逻辑推理方面有相当经验的专家来完成。本文提出了一种基于Goal Net建模方法的简单易用的多智能体系统验证方法。目标网是一个面向目标的框架,旨在简化多智能体系统的设计和实现过程。在我们的方法中,一个多智能体系统被建模为一个目标网。目标网及其属性将自动转换为FSP(有限状态过程)规范,该规范可由模型检查器LTSA(标记转换系统分析器)自动验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Verification of Goal Net Models
Multi-agent systems are increasingly complex and the problem of their verification is acquiring increasing importance. Most of the existing approaches are based on model checking techniques which require system specification in a formal language. This is an error-prone task and can only be performed by experts who have considerable experiences in logic reasoning. We proposed in this paper an easy-to-use approach to the verification of multi-agent systems based on the Goal Net modeling methodology. Goal Net is a goal-oriented framework which aspires to simplify the process of designing and implementing multi-agent systems. In our approach, a multi-agent system is modeled as a goal net. The goal net and its properties will be automatically converted into FSP (Finite State Processes) specification, which can be automatically verified by the model checker LTSA (Labeled Transition System Analyzer).
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