具有常识性推理的日历代理

P. Anthony, Ooi Yu Wooi
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引用次数: 0

摘要

在这项工作中,我们描述了一个Calendar Agent,它使用常识性推理来根据用户在日历中输入的事件生成子任务。为了生成事件的相关子任务,我们使用了ConceptNet,它拥有250,000个常识元素。我们的日历代理根据配置文件和用户的行为为给定事件推荐最佳时间段。该日历代理是基于普罗米修斯方法,使用普罗米修斯设计工具开发的。日历代理的特性之一是它能够解决时间冲突,根据给定的信息自动填写事件条目,并生成用户必须在事件发生之前完成的子任务。日历代理还尝试学习用户的行为,以提供更好的推荐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calendar agent with commonsense reasoning
In this work, we describe a Calendar Agent that uses Commonsense reasoning to generate sub-tasks based on the events that are entered by the user in the calendar. In order to generate the relevant sub-tasks of an event, we utilize ConceptNet which has 250,000 elements of commonsense knowledge. Our calendar agent recommends the best time slot for a given event based on the profile and the behavior of the user. This calendar agent was developed based on Prometheus Methodology using Prometheus Design Tool. Among the features of the calendar agent is its ability to solve timing conflict, filling in the event entry automatically based on the given information and generating sub-tasks that the user has to complete prior to the event. The calendar agent also tries to learn the behavior of the users to provide better recommendation.
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