Abstract
In the design of complex systems, models can be used to predict a future system's performance as well as approximate stakeholder preferences on performance. This paper examines the problem of model truthfulness and the challenge of trusting models, with a focus on value models and how they are used to predict stakeholder preferences. A framework is proposed for the analysis of these issues (truthfulness and trust), which is used to discuss the relationship between models and decision outcomes. Interactive visualization is proposed as an efficient and effective method for increasing model truthfulness and model trust, and hence making better decisions. An interactive visualization tool is also presented, and an application of the tool to a complex decision case is discussed.
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