自组织上下文感知代理系统

A. Florea
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引用次数: 0

摘要

随着计算越来越多地渗透到我们的环境和我们活动的方方面面,我们需要找到新的计算范式,以支持在一个共同的共享环境中,在人类、自主软件组件和通过信息增强的对象之间的灵活交互。本文综述了自组织系统、多智能体系统和上下文感知系统这三种促进支持应用的自主性、灵活性和动态性的重要范式。我们认为,这些范式的结合导致了适应性系统和应用程序的发展,这些系统和应用程序可以面对用户的当前需求和现代数字环境和设备的要求。我们还展示了自组织上下文感知代理系统适合于开发环境智能应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-Organizing Context Aware Agent Systems
As computation increasingly pervades our environment and every aspect of our activity, there is the need of finding new paradigms of computation that support flexible interactions among humans, autonomous software components and objects enhanced with information, in a common shared environment. In this paper, we make a review of three important paradigms that promote autonomy, flexibility and dynamics of the supported applications, namely self-organizing systems, multi-agent systems, and context aware systems. We argue that the combination of these paradigms leads to the development of adaptable systems and applications that can face the current demands of users and requirements of modern digital environments and devices. We also show that self organizing context aware agent systems are fitted to develop ambient intelligence applications.
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