论证映射:用批判性(视觉)思维对抗分析中的认知偏差

William Wright, D. Sheffield, Stephanie Santosa
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引用次数: 9

摘要

人类容易受到忽视概率、框架效应、确认偏差、保守主义(信念修正)和锚定等认知偏差的影响。Argument Mapper通过提供一个易于使用、理论上合理、基于网络的交互式软件工具来解决情报分析中的这些偏见,该工具可以将基于证据的推理应用于分析问题。该工具是与分析方法学家合作设计的,它将结构化的论证映射方法与可视化技术相结合,帮助分析人员理解复杂问题并克服认知偏差。该工具使用培根概率和合取逻辑自动计算上层假设上的推理力。16位分析人员的评估表明,该工具易于使用,易于理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Argument Mapper: Countering Cognitive Biases in Analysis with Critical (Visual) Thinking
Humans are vulnerable to cognitive biases such as neglect of probability, framing effect, confirmation bias, conservatism (belief revision) and anchoring. Argument Mapper addresses these biases in intelligence analysis by providing an easy-to-use, theoretically sound, web-based interactive software tool that enables the application of evidence-based reasoning to analytic questions. Designed in collaboration with analytic methodologists, this tool combines structured argument mapping methodology with visualization techniques to help analysts make sense of complex problems and overcome cognitive biases. The tool uses Baconian probability and conjunctive logic to automatically calculate the inferential force on the upper level hypothesis. Evaluations with 16 analysts showed the tool was easy to use and easy to understand.
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