nips nips2001 nips2001-17 nips2001-17-reference knowledge-graph by maker-knowledge-mining
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Author: Daniel Yarlett, Michael Ramscar
Abstract: In this paper we explore two quantitative approaches to the modelling of counterfactual reasoning – a linear and a noisy-OR model – based on information contained in conceptual dependency networks. Empirical data is acquired in a study and the fit of the models compared to it. We conclude by considering the appropriateness of non-parametric approaches to counterfactual reasoning, and examining the prospects for other parametric approaches in the future.
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