生成和支持动态异构MAS

G. Jayaputera, A. Zaslavsky, S. Loke
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引用次数: 1

摘要

智能体技术研究中的一个重大挑战是使用面向智能体的软件工程(AOSE)工具对异构和动态多智能体系统进行准自动化开发。本文提出了一种在运行时开发和支持多智能体系统的创新方法。多智能体系统(MASs)可以并且应该根据高级用户规范动态生成,并将其转化为任务。动态生成代理也可以作为普及服务提供。质量的异构性是指系统的不同功能和选区,包括移动和主机相关的软件代理。本文提出并论证了一种结合运行时支持的按需实时智能体生成方法。运行时支持基于任务的成本效率和目标,随着任务的发展,可以终止、生成、注入和替换软件代理。我们提出了我们的方法的正式基础,并描述了原型工具-称为eHermes,它已经使用特定的代理平台实现。报告和分析了eHermes测试的经验教训和结果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generating and Supporting Dynamic Heterogeneous MAS
One of the grand challenges in agent technology research is quasi-automatic development of heterogeneous and dynamic multiagent systems using agent oriented software engineering (AOSE) tools. This paper presents an innovative approach to developing and supporting multiagent systems at run-time. Multiagent systems (MASs) can and should be generated dynamically based on high-level user specifications which are transformed into a mission. Dynamically generating agents could also be offered as a pervasive service. Heterogeneity of MASs refers to diverse functionality and constituency of the system which include mobile as well as host associated software agents. This paper proposes and demonstrates on-demand and just-in-time agent generation approach which is combined with run-time support for MASs. Run-time support is based on mission cost-efficiency and objectives which enable termination, generation, injection and replacement of software agents as the mission evolves. We present the formal underpinning of our approach and describe the prototype tool - called eHermes, which has been implemented using specific agent platforms. Lessons and results of testing eHermes are reported and analyzed
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