A prediction processing system, method, and method for doing business is disclosed. The prediction processing system can collect, process and publish event-outcome information. The prediction processing system can dynamically filter participants into groupings and iteratively optimize odds calculations over time. A proposal framework consisting of a various abstract proposal types can model and settle propositions. Game propositions can be automatically generated based on event categorization relationships. The prediction processing system can provide game players or others with access to collective intelligence, including prediction information and information derived from prediction information. The prediction processing system can create groupings of better-performing predictors and provide them with additional information not generally available. Better-performing predictors can be provided with additional stakes to increase the weight of their predictions in odds calculations. The prediction processing system can provide access to event-outcome information on a for-fee subscription basis.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of providing information comprising: procuring predictions online regarding the outcome of an upcoming event from a plurality of persons; with a computing system, identifying ones of the plurality of persons as one or more of: expert, according to accuracy of prior predictions; premium, according to scores in prior events; and fans, according to preference for a specific participant in the upcoming event; receiving from at least one of the plurality of persons a prediction of accuracy of predictions made by another of the plurality of persons; weighting the predictions of each person according to whether that person has been identified as one or more of expert, premium, and fan, and according to any predictions from other persons of the accuracy of predictions by that person; generating odds of the outcome of the upcoming event according to the weighted predictions; and providing information to one or more third parties, said information including the generated odds of the outcome for the upcoming event. 2. The information providing method of claim 1 further comprising: receiving revenue as consideration for providing at least some of the information. 3. The information providing method of claim 1 wherein the providing step includes providing the information to the one or more third parties through an automated network. 4. The information providing method of claim 2 wherein the providing step includes providing the information to the one or more third parties through an automated network. 5. The information providing method of claim 1 wherein the identifying step includes, with the computing system, automatically identifying the ones of the plurality of persons. 6. The information providing method of claim 2 wherein the identifying step includes, with the computing system, automatically identifying the ones of the plurality of persons. 7. The information providing method of claim 4 wherein the identifying step includes, with the computing system, automatically identifying the ones of the plurality of persons. 8. The information providing method of claim 1 further comprising receiving consideration for providing the method. 9. The information providing method of claim 3 further comprising receiving consideration for providing the method. 10. A method of providing information comprising causing: with a computing system: automatically procuring predictions online regarding the outcome of an upcoming event from a plurality of persons; automatically identifying ones of the plurality of persons as one or more of: expert, according to accuracy of prior predictions; premium, according to scores in prior events; and fans, according to preference for a specific participant in the upcoming event; receiving from at least one of the plurality of persons a prediction of accuracy of predictions made by another of the plurality of persons; automatically weighting the predictions of each person according to whether that person has been identified as one or more of expert, premium, and fan, and according to any predictions from other persons of the accuracy of predictions made by that person; and automatically generating odds of the outcome of the upcoming event according to the weighted predictions; and providing information to one or more third parties, said information including the generated odds of the outcome for the upcoming event. 11. The information providing method of claim 10 further comprising: receiving revenue as consideration for providing the information. 12. The information providing method of claim 10 wherein the providing step includes providing the information to the one or more third parties through an automated network. 13. The information providing method of claim 11 wherein the providing step includes automatically providing the information to the one or more third parties through an automated network. 14. The information providing method of claim 10 wherein the providing step includes providing the information to a plurality of parties. 15. The information providing method of claim 11 wherein the providing step includes providing the information to a plurality of parties. 16. The information providing method of claim 13 where the providing step includes automatically providing the information to a plurality of third parties through the automated network. 17. The information providing method of claim 10 further comprising receiving consideration for providing the method. 18. The information providing method of claim 12 further comprising receiving consideration for providing the method. 19. A method of providing information comprising causing: with a computing system: automatically procuring predictions online regarding the outcome of an upcoming event from a plurality of predictors, including a prediction from at least one of the predictors of accuracy of predictions by another of the plurality of predictors; identifying ones of the plurality of predictors as one or more of expert, according to accuracy of prior predictions; premium, according to scores in prior events; and fans, according to preference for a specific participant in the upcoming event; weighting the predictions of each predictor according to whether that predictor has been identified as one or more of expert, premium, and fan, and according to any predictions from other predictors of the accuracy of predictions made by that predictor; automatically using the weighted predictions to generate derivative data from one or more of the procured predictions and the weighted predictions; and automatically providing information to a subset of the predictors, said information including at least one among (i) the derivative data, (ii) one or more procured predictions from the predictors, and (iii) one or more of the weighted predictions. 20. The information providing method of claim 19 wherein the automatically using step includes automatically using the procured predictions to generate the derivative data based upon identification of at least one among (i) one or more possibly better predictors and (ii) one or more possibly better predictions. 21. The information providing method of claim 20 wherein the identified predictors define a subset of possibly less accurate predictors, and said information automatically includes the derivative data, said derivative data including identification of at least one among (i) one or more possibly better predictors or (ii) one or more possibly better predictions. 22. The information providing method of claim 21 further comprising causing, with the computing system, providing the subset of possibly less accurate predictors with an opportunity to change one or more of their predictions online. 23. The prediction information providing method of claim 20 further providing receiving compensation for providing at least a portion of the information providing method. 24. The prediction information providing method of claim 22 further providing receiving compensation for providing at least a portion of the information providing method. 25. A method of providing prediction information comprising causing: with an online prediction gathering computing system in communication with a network: receiving online an identification of a particular upcoming event from one or more third party users of the online prediction gathering computing system; procuring predictions online regarding an outcome of the upcoming event from a plurality of predictors by: identifying ones of the predictors as one or more of expert, according to accuracy of prior predictions; premium, according to scores in prior events; and fans, according to preference for a specific participant in the upcoming event; and receiving from at least one of the plurality of predictors a prediction of accuracy of predictions made by another of the plurality of predictors; and weighting the predictions of each predictor according to whether that predictor has been identified as one or more of expert, premium, and fan, and according to any predictions from other predictors of the accuracy of predictions by that predictor; and providing the predictors with online access to the predictions. 26. The prediction information providing method of claim 25 (i) further comprising receiving online from the one or more third party users an identification of a group of possible predictors and (ii) wherein the plurality of predictors are among the group of possible predictors. 27. The prediction information providing method of claim 25 further providing receiving compensation for providing at least a portion of the prediction information providing method. 28. The prediction information providing method of claim 26 further providing receiving compensation for providing at least a portion of the prediction information providing method. 29. An optimization system comprising: an optimization engine system runnable on a computing system and including: code for grouping system members; code for identifying better predictors among the system members in a particular group according to whether the predictors are: expert, according to accuracy of prior predictions; premium, according to scores in prior events; and fans, according to preference for a specific participant in an upcoming event; and any prediction by any system member of accuracy of predictions made by another system member; code for generating odds based on predictions; and code for providing the odds to at least one or more among the better predictors. 30. The optimization system of claim 29 wherein the optimization engine system further comprises: code for providing value indicia to one more of the system members in the particular group. 31. The optimization system of claim 29 wherein the optimization engine system further comprises: code for applying a threshold to the performance of one or more among the system members; and code for adjusting membership of the particular group based the outcome of the threshold application step. 32. The optimization system of claim 30 wherein the optimization engine system further comprises: code for applying a threshold to the performance of one or more among the system members; and code for adjusting membership of the particular group based the outcome of the threshold application step. 33. The optimization system of claim 29 further comprising a computing system containing the optimization engine system. 34. The optimization system of claim 29 further comprising a computing system containing the optimization engine system. 35. An automated proposal framework system comprising: code for receiving a prediction for an event outcome; code for assessing the event and determining the accuracy of the prediction according to whether the prediction was received from an expert predictor as defined by accuracy of prior predictions, a premium predictor as defined by scores in prior events, or a fan as defined by a preference for a specific participant in the event, and according to any prediction from any predictor of accuracy of predictions made by any other predictor; and code for reporting the accuracy of the prediction. 36. The automated proposal framework system of claim 35 wherein the code for assessing the event includes code for categorizing the type of prediction received for the event outcome. 37. The automated proposal framework system of claim 35 wherein the code for determining the accuracy of the prediction utilizes the categorization result provided by the code for categorizing the type of prediction received for the event outcome.