We present an approach for the validation of complex simulation based on the structured elicitation of expert knowledge. Knowledge capture is based on the technique of Morphological Analysis, which is used to capture expert information on causal linkages and constraints in a systems and its simulation representation. This information is combined with Causal Inference Theory arguments to develop assertions about statistical dependency relations that should exist in both system and simulation. Causal Techniques for conducting these tests, which include the elicited constraint information are described. Overviews of Morphological Analysis, Causal Inference Theory and Statistical Testing Approaches are provided in the context of a Bayesian simulation of an example problem.
In the early twentieth century, the most numerous and well-funded institutions in the United States—corporations—used public relations to make widespread and fundamental changes in the way they constitute and regulate their relations of knowledge with the public. Today, we can see this change reflected in a variety of areas such as journalism, political outreach, social media, and in the claims that we live in “post-truth” society. This article traces practices of corporate truth-telling and knowledge production across three periods I call the personal, the legal, and public relations, which are roughly coincident with the antebellum period, the Gilded Age, and the twentieth century, respectively. In sum, what can be found in corporate propaganda and now broadly across society, is that relations of knowledge have come to be refigured primarily as relations of power, subordinating traditional epistemological concerns like justification and belief in favor of government and control.
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