Knowledge base comprising executable stories

1. An assisted decision-making system comprising:

a processor; and

a memory comprising:

a knowledge base comprising a plurality of executable stories, a given executable story comprising:

an executable belief network comprising a plurality of hypotheses; and

a plurality of evidence templates representing respective text segments containing information related to the plurality of hypotheses comprising the belief network, a given evidence template listing at least two of the location, magnitude, mechanism, and associated actor of an event of interest described in a represented text segment; and

computer executable instructions, executed by the processor, comprising a plurality of decision algorithms that retrieve executable stories from the knowledge base, modify the retrieved executable stories, and return the modified executable stories to the knowledge base.

2. The system of claim 1 , at least one of the plurality of executable stories comprising a Dempster-Shafer belief network.

3. The system of claim 1 , the computer executable instructions further comprising a fusion engine that is operative to add and remove hypotheses from the plurality of executable stories associated with a given executable story, and modify the plurality of hypotheses associated with the executable story.

4. The system of claim 3 , the fusion engine being operative to determine the logical intersection between a first belief network, associated with a first story, and a second belief network, associated with a second story.

5. The system of claim 3 , the fusion engine being operative to determine the logical union between a first belief network, associated with a first story, and a second belief network, associated with a second story.

6. The system of claim 1 , the computer executable instructions comprising at least one information extractor that reduces evidence from an external source into an evidence template that is appropriately formatted for the knowledge base.

7. The system of claim 6 , the computer executable instructions further comprising at least one evidence classifier that evaluates the evidence template to associate the template with a hypothesis from the plurality of hypotheses associated with an executable story from the plurality of executable stories within the knowledge base.

8. The system of claim 6 , the plurality of decision algorithms comprising a data mining algorithm that examines a given executable story from the plurality of hypotheses to determine one or more appropriate hypotheses from the plurality of hypotheses associated with the executable story to associate with the evidence template.

9. The system of claim 1 , the plurality of decision algorithms comprising a case based reasoning system that modifies a first executable story from the plurality of executable stories according to an analysis of at least a second executable story from the plurality of executable stories provided to the case based reasoning algorithm from the knowledge base.

10. The system of claim 1 , the computer executable instructions comprising a translation interface that converts a given executable story from the plurality of executable stories in the knowledge base into a format associated with at least one of the plurality of decision algorithms.

11. The system of claim 10 , the translation interface comprising first and second interface modules, associated respectively with first and second decision algorithms from the plurality of decision algorithms, each of the first and second interface modules being operative to convert an executable story from the plurality of executable stories in the knowledge base into an appropriate input format for its associated decision algorithm.

12. A computer-accessable memory operative in a general purpose processor, comprising:

a knowledge base comprising a plurality of executable stories, a given executable story comprising:

an executable belief network comprising a plurality of hypotheses; and

a plurality of evidence templates representing respective text segments containing information related to the plurality of hypotheses comprising the belief network, a given evidence template listing at least two of the location, magnitude, mechanism, and associated actor of an event of interest described in a represented text segment; and

a plurality of decision algorithms that retrieve executable stories from the knowledge base, modify the retrieved executable stories, and return the modified stories to the knowledge base; and

a translation interface that converts a given story from the knowledge base into a format associated with at least one of the plurality of decision algorithms.

13. The computer-accessable memory of claim 12 , further comprising a fusion engine that is operative to add and remove hypotheses from the plurality of executable stories associated with a given executable story, and modify the plurality of hypotheses associated with the executable story.

14. The computer-accessable memory of claim 12 , further comprising at least one information extractor that reduces evidence from an external source into an evidence template that is appropriately formatted for the knowledge base.

15. The computer-accessable memory of claim 14 , the computer further comprising at least one evidence classifier that evaluates the evidence template to associate the template with a hypothesis within the knowledge base.

16. The computer-accessable memory of claim 12 , the translation interface comprising first and second interface modules, associated respectively with first and second decision algorithms from the plurality of decision algorithms, each of the first and second interface modules being operative to convert a story from the knowledge base into an appropriate input format for its associated decision algorithm.

17. An assisted decision making system, comprising:

a processor; and

a memory comprising:

a knowledge base comprising a plurality of executable stories, a given executable story comprising:

an executable belief network comprising a plurality of hypotheses; and

a plurality of evidence templates representing respective text segments containing information related to the plurality of hypotheses comprising the belief network, a given evidence template listing at least two of the location, magnitude, mechanism, and associated actor of an event of interest described in a represented text segment; and

computer executable instructions, executed by the processor, comprising:

at least one information extractor that reduces evidence from an external source into evidence templates that are appropriately formatted for the knowledge base;

at least one evidence classifier that evaluates the evidence templates to associate each template with a hypothesis within the knowledge base;

a plurality of decision algorithms that retrieve executable stories from the knowledge base, modify the retrieved executable stories, and return the modified stories to the knowledge base; and

a translation interface that converts a given story from the knowledge base into a format associated with at least one of the plurality of decision algorithms.

18. The system of claim 17 , the plurality of decision algorithms comprising a data mining algorithm that examines a given executable story from the plurality of hypotheses to determine one or more appropriate hypotheses from the plurality of hypotheses associated with the executable story to associate with the evidence template.

19. The system of claim 17 , the plurality of decision algorithms comprising a case based reasoning system that modifies a first executable story from the plurality of executable stories according to an analysis of at least a second executable story from the plurality of executable stories provided to the case based reasoning algorithm from the knowledge base.

20. The system of claim 17 , further comprising a fusion engine that is operative to add and remove hypotheses from the plurality of executable stories associated with a given executable story, and modify the plurality of hypotheses associated with the executable story.