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ACT-R Modeling of Intelligence Analysts’ Perception of Information to Improve Situational Understanding

机译:情报分析师对信息的ACT-R建模以提高对情境的了解

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摘要

For the military, one of the central challenges associated with developing good situational understanding originates with the information. The character of today's battlefield features a high volume of information across multiple sources and threatens to overwhelm traditional methods of review.Confounding this effort is the fact that the information received often has varying degrees of agreement (i.e., complementary or contradictory). Timely review requires the development of automated assist methods that identify and prioritize the most valuable and applicable information for mission success. One method to improve military situational awareness and decisionmaking is the ability to amalgamate information across various sources and content. Towards this end, this paper presents the development and evaluation of an Adaptive Control of ThoughtRationale (ACT-R) model to understand the cognitive steps and processes employed by intelligence analysts as they value information.
机译:对于军方而言,与发展良好的态势了解相关的主要挑战之一是信息。当今战场的特征是跨多种来源的大量信息,并有可能使传统的审查方法不堪重负,造成混淆的是,收到的信息往往具有不同程度的共识(即互补或矛盾)。及时审查要求开发自动辅助方法,以识别和优先考虑最有价值和适用的信息,以确保任务成功。提高军事态势意识和决策能力的一种方法是能够融合各种来源和内容的信息。为此,本文介绍了一种智能思想控制(ACT-R)模型的开发和评估,以了解情报分析师重视信息的认知步骤和过程。

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