Non-linear Probabilistic Forecasting for Collective Intelligence

The patent replaces the mechanical/psychological process of numerically expressing confidence with a gambling-based probabilistic wagering system. Instead of asking participants to directly state their confidence level on a scale, the system uses non-linear probabilistic wagering where participants allocate virtual currency across multiple outcomes. This substitution transforms the measurement mechanism from direct self-reporting to indirect behavioral expression through wagering decisions, which the system then translates into confidence scores.

The patent changes the parameter of confidence expression from direct numerical scales to probabilistic wagering allocations. By using non-linear transformation functions, the system maps the wagering behavior (distribution of virtual currency) into confidence scores. This parameter transformation allows the system to capture confidence levels through a different metric that better reflects actual participant certainty while reducing the inconsistencies associated with direct numerical self-assessment.

The patent substitutes the simple but unreliable direct numerical scale with a gambling interface that appears complex but actually simplifies the expression of true confidence. The wagering mechanism, while resembling casino games, provides a more reliable measure of confidence by translating intuitive betting behavior into quantifiable confidence scores through non-linear transformations.

The patent introduces an intermediary layer between the participant's internal confidence state and the measured output. Instead of direct mapping, the system uses wagering behavior as an intermediary that indirectly reveals confidence levels. The non-linear probabilistic wagering acts as a mediator that translates subjective certainty into objective confidence scores, filtering out the noise and inconsistencies of direct self-reporting.