The dog that didn't bark: a Bayesian account of reasoning from censored data

不叫的狗：根据审查数据进行推理的贝叶斯解释

• 批准号: DP190101224
• 负责人: Prof Brett Hayes
• 金额: $ 27.41万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-07-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190101224
• 关键词: dog; didn; bark; Bayesian; account

This project aims to develop and test a new computational theory of inductive reasoning. Inductive reasoning involves extending knowledge from known to novel instances, and is a central component of intelligent behaviour. This project will address the cognitive mechanisms that allow people to draw inferences based on both observed and censored evidence. The project intends to test the model through an extensive program of experimental investigation and computational modelling. The anticipated benefits include an enhanced understanding of human inference, especially in domains such as the evaluation of forensic or financial evidence, where data censoring is common.

该项目旨在开发和测试一种新的归纳推理计算理论。归纳推理涉及将知识从已知实例扩展到新的实例，是智能行为的核心组成部分。这个项目将解决认知机制，使人们能够根据观察到的和审查的证据做出推断。该项目打算通过广泛的实验调查和计算建模计划来测试该模型。预期的好处包括增强对人类推理的理解，特别是在数据审查常见的法医或金融证据评估等领域。