Omacs: A Framework for Adaptive, Complex Systems

S. DeLoach
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引用次数: 50

Abstract

This chapter introduces a suite of technologies for building complex, adaptive systems. It is based in the multi-agent systems paradigm and uses the Organization Model for Adaptive Computational Systems (OMACS). OMACS defines the knowledge needed about a system’s structure and capabilities to allow it to reorganize at runtime in the face of a changing environment and its agent’s capabilities. However, the OMACS model is only useful if it is supported by a set of methodologies, techniques, and architectures that allow it to be implemented effectively on a wide variety of systems. To this end, this chapter presents a suite of technologies including (1) the Organization-based Multiagent Systems Engineering (O-MaSE) methodology, (2) a set of policy specification techniques that allow an OMACS system to remain flexible while still providing guidance, and (3) a set of architectures and algorithms used to implement OMACSbased systems. The chapter also includes the presentation of a small OMACS-based system.
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Omacs:自适应复杂系统的框架
本章介绍了一套用于构建复杂的自适应系统的技术。它基于多智能体系统范式,并使用自适应计算系统(OMACS)的组织模型。OMACS定义了系统结构和功能所需的知识,以允许系统在运行时面对不断变化的环境及其代理的功能进行重组。但是,OMACS模型只有在一组方法、技术和体系结构支持下才有用,这些方法、技术和体系结构允许在各种系统上有效地实现OMACS模型。为此,本章介绍了一套技术,包括(1)基于组织的多代理系统工程(O-MaSE)方法,(2)一套允许OMACS系统在提供指导的同时保持灵活性的策略规范技术,以及(3)一套用于实现基于OMACS的系统的体系结构和算法。本章还介绍了一个基于omacs的小型系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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