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Prognostic normative reasoning

机译:预后规范推理

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摘要

Human users planning for multiple objectives in complex environments are subjected to high levels of cognitive workload, which can severely impair the quality of the plans created. This paper describes a software agent that can proactively assist cognitively overloaded users by providing normative reasoning about prohibitions and obligations so that the user can focus on her primary objectives. In order to provide proactive assistance, we develop the notion of prognostic normative reasoning (PNR) that consists of the following steps: (1) recognizing the user's planned activities, (2) reasoning about norms to evaluate those predicted activities, and (3) providing necessary assistance so that the user's activities are consistent with norms. The idea of PNR integrates various Al techniques, namely, user intention recognition, normative reasoning over a user's intention, and planning, execution and replanning for assistive actions. In this paper, we describe an agent architecture for PNR and discuss practical applications.
机译:规划复杂环境中多个目标的人类用户承受着高水平的认知工作量,这可能严重损害所创建计划的质量。本文介绍了一种软件代理,它可以通过提供有关禁止和义务的规范性推理来主动帮助认知超负荷的用户,以便用户可以专注于其主要目标。为了提供主动帮助,我们开发了预后规范推理(PNR)的概念,该概念包括以下步骤:(1)识别用户的计划活动,(2)关于规范的推理以评估那些预测的活动,以及(3)提供必要的帮助,以使用户的活动与规范保持一致。 PNR的思想整合了各种A1技术,即用户意图识别,对用户意图的规范推理以及辅助动作的计划,执行和重新计划。在本文中,我们描述了PNR的代理架构,并讨论了实际应用。

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