System and method for predictive analysis and predictive analysis markup language
First Claim
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1. A system for predictive analysis, comprising:
- a predictive analysis processor configured to receive a data input and to generate a plurality of weighted course-of-action predictions, wherein the predictive analysis processor is operatively coupled to a modeler for defining a contextual world model in which future scenarios may be predicted;
a predictive analysis feedback processor, operatively coupled to the first predictive analysis processor and configured to receive the plurality of weighted course-of action predictions and automatically providing supporting information to the predictive analysis processor based on the application of a nonlinear gradient to the received weighted course-of-action predictions; and
an output device configured to display the course of action predictions.
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Abstract
A predictive architecture system and method that supports predicting likely future evolutions by aggregating and analyzing large amounts of data. The invented system includes a multi-level architecture, along with one or more feedback functions that drive search and discovery for information in support of a “hypothesis” or discovery of significant information in advance of clear hypothesis formation and passing on higher-level predictive support or lack of support for existing and/or new hypotheses.
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Citations
21 Claims
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1. A system for predictive analysis, comprising:
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a predictive analysis processor configured to receive a data input and to generate a plurality of weighted course-of-action predictions, wherein the predictive analysis processor is operatively coupled to a modeler for defining a contextual world model in which future scenarios may be predicted;
a predictive analysis feedback processor, operatively coupled to the first predictive analysis processor and configured to receive the plurality of weighted course-of action predictions and automatically providing supporting information to the predictive analysis processor based on the application of a nonlinear gradient to the received weighted course-of-action predictions; and
an output device configured to display the course of action predictions. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for predictive analysis, comprising:
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a knowledge discovery processor configured to collect and transforming a set of structured data and/or semi-structured data and/or unstructured data elements into a filtered set of information;
a markup language modeling processor configured to define a markup language consistent with a subject entity'"'"'s ontology, wherein the markup language is applied to the filtered set of information;
a hypothesis generator, operatively coupled to the knowledge discovery processor, configured to characterize the filtered set of information, wherein a first feedback controller is operatively coupled between the hypothesis generator and the knowledge discovery processor for automatically providing supporting information to the knowledge discovery processor based on the characterized filtered set of information;
a predictive analysis processor, operatively coupled to the hypothesis generator, for generating a plurality of weighted course-of action predictions, wherein a second feedback controller is operatively coupled between the first predictive analysis processor and the hypothesis generator for automatically providing supporting information to the hypothesis generator based on the weighted course-of action predictions;
a predictive analysis feedback processor, operatively coupled to the first predictive analysis processor, for receiving the plurality of weighted course-of action predictions and automatically providing supporting information to the predictive analysis processor based on the application of a nonlinear gradient to the received weighted course-of-action predictions. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20, 21)
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17. A method for conducting predictive analysis, comprising the steps of:
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providing a data input to a processor;
defining a contextual world model in which future scenarios may be predicted;
generating a plurality of weighted course-of-action predictions;
applying a non-linear gradient to the plurality of weighted course-of action predictions to generate supporting information; and
regenerating a plurality of weighted course-of-action predictions using the supporting information;
displaying the predictions on an output device.
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Specification