Mindjet LLC

Spigit, Inc.

Bliss Distribution Inc.

Matthew John Fogarty

Leslie R Fine

Matthew Shore

Leslie Fine

Nanahari Phatak

Opaque sealed container

A method, system, and database for facilitating verification of a content of a sealed container are provided. The method includes receiving one or more images of the content of the sealed container. The one or more images of the content are captured prior to sealing the content in the sealed container. A unique code is associated with the one or more images of the content. The unique code is printed for affixing the printed unique code on an exterior of the sealed container. Storage of the one or more images and the unique code is facilitated in a database. The one or more images are retrievable from the database based on providing the unique code to the database.

Content verification system for opaque sealed containers

Various problems currently exist in the operation of using prediction markets for corporate forecasting. One of these problems we address is the problem related to the 'consistency and consolidation of metrics'. We hierarchically structure and link sets of markets traded using an automated market maker and dynamically balance markets.

Automated market maker and related methods and improvements

The present disclosure provides a system that implements a prediction market, used for making forecasts and, more particularly, for extracting participant utility. One or more forecasts of a specific participant or subset of participants are taken, and a measure of divergence of these forecasts from a group as a whole (or for that matter, any group) is calculated. This divergence may then later be employed in the prediction market (e.g., for present or future forecasting). For example, if it is known that 'sales managers' are consistently too liberal in forecasting product release dates than others within a company, this tendency may be compensated for or used in a variety of manners, such as automatically correcting predictions or forecasts for perceived error, automatically discarding or modifying predictions, or automatically generating 'virtual' predictions for future events. Other actions may also be taken.

Participant utility extraction for prediction market based on region of difference between probability functions

This disclosure provides a database, methods and associated software to implement and manage a prediction market. By collecting individual predictions as a set of predicted outcomes, such as a range of outcomes, the principles presented herein permit aggregation of overlapping predictions to generate a cumulative probability distribution, effectively using 'crowd wisdom' to build a probability model of an event. Through the use of 'roll-up' and &#x201c;roll-down&#x201d; techniques, this disclosure provides a way of applying new information not only to an event being predicted, but also to the outcomes of other, related events. Conversion to a common probability distribution format may be used to simplify and accelerate mathematical operations, easing the burden in quickly calculating and updating a cumulative probability model for events in each affected dimension in the predicted market. These teachings may be applied to a wide variety of applications, including gaming, blog and opinion sites, spreadsheet programs, and date, logistics, accounting and other forecasting tools.

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Palo Alto, CA, United States of America

Matthew John Fogarty