Judgment Error and Expert Critics in Forecasting Tasks*

This paper presents an approach to elicit and critique intuitive forecasts. It attempts to retain the valid component of experts' judgments while correcting some biases. Decision science and expert system techniques were unified with the design of an expert critiquing system. A real world application of the resulting critic verifies the approach. A discussion addresses how to create a similar critic for other forecast settings.