环境下的分布式协同推理

Amina Jarraya, Khedija Arour, A. Borgi, A. Bouzeghoub
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引用次数: 1

摘要

协作在环境分布式推理系统中起着重要的作用。在这样的系统中,具有不同感知和能力的环境实体必须在推理过程中通过分享部分本地知识来合作,以实现一组共同目标。然而,先前的分布式推理工作假设环境实体保持其局部知识的私密性,并以自上而下的方式进行推理以达到这些目标。这种方法不符合Ambient环境的特点。本文提出了一种更有针对性的分布式点对点方法,利用环境环境中的协作对上下文信息进行建模和推理。环境实体以自下而上的方式共享其局部上下文信息和推理。我们提出了一个操作模型,并为所提出的方法提出了一个原型实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Cooperative Reasoning in Ambient Environment
Cooperation plays an important role in distributed reasoning systems in Ambient Environment. In such systems, ambient entities with diverse perception and capabilities have to cooperate during the reasoning process by sharing parts of their local knowledge to achieve a set of common goals. Nevertheless, previous work in distributed reasoning assumed that ambient entities keep their local knowledge private and reason in a top-down manner to reach these goals. Such approaches do not fit with the features of Ambient environment. This paper presents a more tailored distributed peer-to-peer approach for modeling and reasoning with context information using cooperation in Ambient Environment. Ambient entities cooperate by sharing parts of their local context information and reason in a bottom-up manner. We propose an operational model and present a prototype implementation for the proposed approach.
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