Explanation of Probabilistic Inference for Decision Support Systems

lib:a3475fe41a0b1508 (v1.0.0)

Authors: Christopher Elsaesser
ArXiv: 1304.2756
Document:  PDF  DOI 
Abstract URL: http://arxiv.org/abs/1304.2756v1


An automated explanation facility for Bayesian conditioning aimed at improving user acceptance of probability-based decision support systems has been developed. The domain-independent facility is based on an information processing perspective on reasoning about conditional evidence that accounts both for biased and normative inferences. Experimental results indicate that the facility is both acceptable to naive users and effective in improving understanding.

Relevant initiatives  

Related knowledge about this paper Reproduced results (crowd-benchmarking and competitions) Artifact and reproducibility checklists Common formats for research projects and shared artifacts Reproducibility initiatives

Comments  

Please log in to add your comments!
If you notice any inapropriate content that should not be here, please report us as soon as possible and we will try to remove it within 48 hours!