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首页> 外文会议>2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications >A Probabilistic Multi-Agent System Architecture for Reasoning in Smart Homes
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A Probabilistic Multi-Agent System Architecture for Reasoning in Smart Homes

机译：智能家居中的概率多智能体系统架构

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摘要

Uncertainty is inevitable in ambient assisted living (AAL) environments as sensors may read inaccurate data or due to the existence of unobserved variables for privacy reasons. Furthermore, the dynamic nature of the home environment and vague human communications may result in ambiguous, incomplete and inconsistent contextual information, which ultimately lead the smart home system into uncertainty. This paper aims to tackle some of these challenges, in particular, uncertainty due to vague human communication and missing information in ambient environments. For this, we proposed a probabilistic multi-agent system architecture for reasoning in smart homes by utilizing the notion of multiagent systems (MAS) technologies and probabilistic logic programming techniques. Accordingly, this study shows how the probabilistic reasoning technique enables the agents to reason under uncertainty. Furthermore, it discusses how the intelligent agents enhance their decision-making process by exchanging information about missing data or unobservable variables using agent interaction protocols. In general, the study demonstrates that the combination of MAS technologies and probabilistic logic programming can help in building a reasoning system, which is capable of performing well under vague inhabitant commands and missing information in a partially observable environment.
机译：在环境辅助生活（AAL）环境中，不确定性是不可避免的，因为传感器可能读取不准确的数据，或者由于隐私原因而存在未观察到的变量。此外，家庭环境的动态性质和模糊的人际交流可能导致模棱两可，不完整和不一致的上下文信息，最终导致智能家居系统陷入不确定性。本文旨在解决其中的一些挑战，尤其是由于模糊的人类交流和周围环境中的信息丢失所导致的不确定性。为此，我们利用多智能体系统（MAS）技术和概率逻辑编程技术的概念，提出了一种用于智能家居中的概率多智能体系统架构。因此，本研究表明概率推理技术如何使主体在不确定性下进行推理。此外，它讨论了智能代理如何通过使用代理交互协议交换有关丢失数据或不可观察变量的信息来增强其决策过程。总的来说，这项研究表明，MAS技术和概率逻辑编程的结合可以帮助构建推理系统，该系统能够在含糊不清的居民命令下表现良好，并且在部分可观察的环境中能够丢失信息。

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