Using Tropos to model agent based architectures for adaptive systems: a case study in ambient intelligence

L. Penserini, P. Bresciani, T. Kuflik, P. Busetta
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引用次数: 8

Abstract

The realization of complex distributed applications required in areas such as e-Business, e-Government, and ambient intelligence calls for new software development paradigms, such as the service oriented computing approach, which accommodates for dynamic and adaptive interaction schemata, carried on at a peer-to-peer level. Multi agent systems promise to offer the natural architectural solutions to several requirements imposed by such an adaptive approach. Nevertheless, architectural design patterns commonly adopted to model agent interaction schemata do not totally fit the needs implied by highly adaptable service oriented computing scenarios. In this paper, the agent oriented software engineering methodology Tropos is adopted to discuss common architectural agent patterns, and propose architectural improvements to better deal with high degrees of dynamic system adaptability. The novel architectures are illustrated through a case study in the field of ambient intelligence, namely a real multi agent system application implementing a pervasive museum visitors guide.
使用Tropos为自适应系统建模基于代理的架构:环境智能的案例研究
电子商务、电子政务和环境智能等领域所需的复杂分布式应用程序的实现需要新的软件开发范例,例如面向服务的计算方法,它适应在点对点级别上进行的动态和自适应交互模式。多代理系统承诺为这种自适应方法所带来的几种需求提供自然的体系结构解决方案。然而,通常用于为代理交互模式建模的体系结构设计模式并不完全适合高度可适应的面向服务的计算场景所隐含的需求。本文采用面向agent的软件工程方法论Tropos,讨论了常见的体系结构agent模式,并提出了体系结构改进方案,以更好地处理高度动态的系统适应性。通过环境智能领域的一个案例研究,即一个真正的多智能体系统应用,实现了一个无处不在的博物馆游客导览。
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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