通过多重逻辑框架进行上下文推理

Pablo Rangel, José G. Carvalho Junior, M. Ramirez, J. Souza
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引用次数: 2

摘要

这项工作提出了一个名为实时多逻辑推理器(RT-MLR)的实现框架,旨在帮助开发上下文感知系统。将基于规则的方法与常规的面向对象体系结构相结合,设计了RT-MLR。RT-MLR有一个推理引擎,允许通过三种逻辑类型的规则来表达和合并知识:一阶逻辑、模糊逻辑和时间逻辑。该引擎基于基于事件的方法工作,该方法支持对系统域的连续监视。基于基于数据融合方法的RTMLR在军事应用中执行上下文推理的能力,对其进行了举例说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context Reasoning through a Multiple Logic Framework
This work presents an implemented framework called Real Time Multi Logic Reasoner (RT-MLR) that aims to help a development of context-aware systems. RT-MLR has been designed combining the rule based method with the regular object-oriented architecture. RT-MLR has an inference engine that allows to express and merge knowledge through rules in three logic types: First-Order Logic, Fuzzy Logic and Temporal Logic. This engine works based on an event based approach, which supports a continuous monitoring of system domain. RTMLR has been exemplified base on its capability to perform context reasoning in a military application according to data fusion approach.
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