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Causal reasoning with ambiguous information

Shou, Yiyun

Description

Ambiguous observations result in imprecise estimations of subjective probabilities for rule-based causal reasoning. To date, there is a lack of research on causal reasoning from covariance information involving ambiguous observations. This dissertation examines the impacts of ambiguous information on causal reasoning, and how subjects may treat ambiguous observations. It started with exploring constructs in causal reasoning and evaluating existing models of causal reasoning. This was then...[Show more]

CollectionsOpen Access Theses
Date published: 2015
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/156251
DOI: 10.25911/5d514492aa3bf

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