A tool that uses human factors to simplify model building and facilitate more accurate strategic decisions
Oscar Kipersztok · 2007
This paper describes a tool to validate hypotheses in strategic decision making. The system builds on experimental evidence of human factors that lead to more accurate decisions. The paper shows how those factors are translated into specifications for a user interface that simplifies the capture of expert knowledge to create complex models of strategic domains of interest. The tool uses graphical probabilistic reasoning, combined with text classification methods, to expedite the search for relevant information in a large number of documents to help validate hypotheses.