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We address the problem of building a decision model for a specific biddingsituation in the game of Bridge. We propose the following multi-stepmethodology i) Build a set of examples for the decision problem and usesimulations to associate a decision to each example ii) Use supervisedrelational learning to build an accurate and readable model iii) Perform ajoint analysis between domain experts and data scientists to improve thelearning language, including the production by experts of a handmade model iv)Build a better, more readable and accurate model.

Construction and Elicitation of a Black Box Model in the Game of Bridge