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A Matter of Trust: Smart Home System Relying on Logic, BCI, and Sensor Agents

机译:信任事项:依靠逻辑,BCI和传感器代理的智能家居系统

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In this paper we sketch out a smart home system(and the reasoning mechanism behind it) designed to improve the living experience of the severely impaired, relying on logic, brain-computer interfacing (BCI) and mobile sensor agents. There exists a significant social category of people who because of either old age or conditions such as paralysis lose their ability to manage their own lives. Such persons are compelled to rely on others in order to manage their finances, expenses, daily necessities such as eating or turning on the television or dialing an emergency number. In our previous research we have described a manner in which to model emotions, as captured via BCI. Here, we extend this model to abstract and concrete concepts and employ epistemic logic and a logic of trust in order to allow communication between the person and heterogeneous agents via a BCI headset. We firstly describe a formal model for expressing reasoning as captured in its cortical projection. Secondly, we describe a communication protocol that uses a logic of trust that allows the user to give commands to specific listening agents. The system should use reasoning and logic to learn from the user commands they receive and configure routines that correspond to the usual preferences and needs. Finally, the agents, on receiving and corroborating data from other sensors that relate to vital signs of the user or that otherwise identify a crisis situation, should be able to decide when to change their task priorities andthe system should ad hoc self-configure in order to provide bestassistance to the user.
机译:在本文中,我们概述了一个智能家居系统(及其背后的推理机制),该系统旨在依靠逻辑,脑机接口(BCI)和移动传感器代理来改善严重受损者的生活体验。存在着很大的社会类别,这些人由于年老或诸如麻痹之类的条件而失去了自己的生活管理能力。这些人被迫依靠他人来管理他们的财务,开支,日常必需品,例如吃饭或打开电视或拨打紧急电话。在我们之前的研究中,我们描述了一种通过BCI捕获的情感建模方法。在这里,我们将此模型扩展到抽象和具体的概念,并采用认知逻辑和信任逻辑,以允许人与异构代理之间通过BCI耳机进行通信。我们首先描述一个形式模型,用于表达其皮层投影中捕获的推理。其次,我们描述一种使用信任逻辑的通信协议,该逻辑允许用户向特定的侦听代理发出命令。系统应使用推理和逻辑从他们接收的用户命令中学习并配置与通常的首选项和需求相对应的例程。最后,代理在从其他传感器接收并证实与用户生命体征有关的数据或以其他方式识别危机情况时,应能够决定何时更改其任务优先级,并且系统应进行临时​​自配置,以便为用户提供最佳协助。

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