分布式关键任务决策支持系统的需求

S. White
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引用次数: 5

摘要

关键任务场景中的态势评估与决策是一项复杂的认知任务,涉及对众多变量的评估,这些变量往往是相互依存的。任务由个人、团队和组织执行,信息由不同的来源提供。团队成员通常扮演特定的角色,但是必须与其他团队成员共享信息和对问题的共同理解才能有效。适当的自动化支持可以缓解分布式认知的问题。本文定义了分布式决策支持系统的许多需求,以支持关键任务操作,如灾难恢复、人员疏散和流行病期间的医疗支持。本文还讨论了开发此类系统的困难
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Requirements for distributed mission-critical decision support systems
Situation assessment and decision making (SA & DM) in mission critical scenarios is a complex cognitive task involving assessment of numerous variables which are often interdependent. Tasks are performed by individuals, teams and organizations and information is provided by different sources. Team members often perform a specific role, but must share information and a common understanding of the problem with other team members to be effective. Proper automated support could alleviate the problems of distributed cognition. This paper defines many requirements for distributed decision support systems, to support mission critical operations such as disaster recovery, personnel evacuation, and medical support during a pandemic. The paper also addresses the difficulty in developing such systems
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