智能代理的情境感知:主动代理行为理论的基础

Raymond So, L. Sonenberg
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引用次数: 54

摘要

这项工作概述了一个态势感知的计算模型。这种模式有两个目的。首先,它为我们日常的态势感知概念提供了详细的描述。其次,它提供了另一种视角来研究智能代理系统中主动行为的性质和特征。大多数现有的对主动性的定义都不具备相关的细节,以鼓励对提高代理人预测和处理可预见情况的能力进行严格的研究。这项工作旨在通过提出主动性的工作定义来填补这一空白,该定义额外强调其基础认知过程及其在指导代理注意力方面的作用。本文还简要讨论了如何使用情境感知作为元级控制来引导资源受限代理的注意力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Situation awareness in intelligent agents: foundations for a theory of proactive agent behavior
This work outlines a computational model of situation awareness. This model serves two purposes. First, it provides a detailed description for our everyday notion of situation awareness. Second, it offers an alternative perspective of looking into the nature and characteristics of proactive behavior in intelligent agent systems. Most of the existing definitions of proactiveness do not possess the relevant details to encourage rigorous studies of enhancing an agent's capability to anticipate and deal with foreseeable situations. This work intends to fill this gap by suggesting a working definition of proactiveness, which place additional emphasis on its underpinning cognitive process and its role in directing an agent's attention. A brief discussion of using situation awareness as meta-level control to direct a resource-bounded agent's attention is also included.
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