不确定性和模糊性下威胁评估与行动选择的多智能体系统

G. Rogova, R. Ilin
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引用次数: 1

摘要

本文描述了一种设计多智能体决策支持系统的方法,该系统监测不确定和模糊的动态环境,以产生对当前情况的可能解释,识别不对称威胁,并在资源和时间限制下选择行动以防止灾难性后果或减轻其影响。所提出的系统包含了决策者在涉及常规和高后果罕见事件的情况下对风险和不确定性的态度。还提出了显示所述方法的潜力的示例场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Agent System for Threat Assessment and Action Selection under Uncertainty and Ambiguity
This paper describes an approach to designing a multi-agent decision support system, which monitors uncertain and ambiguous dynamic environments to produce probable explanations of the current situation and identify asymmetric threat as well as selects actions to prevent catastrophic consequences or mitigate their impact while acting under resource and time constraints. The proposed system incorporates decision makers' attitude toward risk and uncertainty in situations involving regular and high consequence rare events. An example scenario showing potentials of the described approach is also presented.
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