面向智能体的方法:一种基于模糊的多智能体形式化改进方法

Sofia Kouah, Ilham Kitouni, D. Saidouni
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引用次数: 2

摘要

本文旨在为多智能体系统(MAS)等复杂系统的设计提供一个通用框架。它基于支持MAS需求的正式规范模型。该模型被称为开放模糊同步Petri网(OFSyPN),是对同步Petri网的扩展,增强了其模糊性、开放性和与环境的交互性。该方法基于严格的细化过程。它区分了可预测和不可预测的行为。此外,该方法基于收集需求过程,允许以结构良好的方式捕获需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Agent Oriented Methodology: A Fuzzy based Formal Refinement Approach for Multi-agent
This paper aims to provide a general framework for the design of complex systems such as multi-agents systems (MAS). It is based on formal specification model which supports MAS requirements. This model, called Open Fuzzy Synchronized Petri Net (OFSyPN), is an extension of Synchronized Petri net enhanced by fuzziness, openness and interaction with environment. The approach is based on a rigorous refinement process. It distinguishes between predictable and unpredictable behaviors. Also, the approach is based on gathering requirement process, which allows capturing requirement in well-structured manner.
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