Non-disruptive embedding of specialized elements

• US 7,558,698 B2
• Filed: 08/03/2007
• Issued: 07/07/2009
• Est. Priority Date: 07/30/2004
• Status: Active Grant

• Current Assignee: AiLive, Inc.
• Original Assignee: AiLive, Inc.
• Inventors: McNally, Michael, Duffy, Nigel, Musick, Ron, Tu, Xiaoyuan, Funge, John, Wright, Ian, Yen, Wei, Dobson, Daniel, Cabral, Brian
• Primary Examiner(s): TSAI, CAROL S W
• Application Number:
  US11/890,262
• Publication Number:
  US 20080065353A1
• Time in Patent Office: 704 Days
• Field of Search: 702/179, 706/12, 706/25, 706/20, 706/28, 706/46, 706/47, 706/50, 706/8, 706/45, 706/62, 707/100, 707/102, 707/5, 707/3, 707/1, 707/E17.084, 707/E17.008, 707/E17.009, 707/E17.099, 707/E17.061, 707/E17.032
• US Class Current: 702/179
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface

Abstract

A system including at least specialized elements that are restricted to a particular domain of data analysis or processing and configurable data that permits the specialized elements to be tailored to a particular application. The configurable data expands applicability of the specialized elements to plural applications within the particular domain. The specialized elements can be provided by a supplier to a developer without the supplier having detailed knowledge of structures and internal operations used by the particular application. The particular application can be generated by the developer without the developer having detailed knowledge of internal operations used by the specialized elements.

Claims

1. A method, including steps of

defining an ontology specifying an application domain;

providing a module for at least one form of statistical analysis within that ontology;

automatically configuring that module in a computing device in response to a system that is consistent with that ontology, with an effect of generating an interface between the module and the system, wherein an interface is specified at least in part by the module and at least in part by the system,

wherein

the system has no substantial requirement for specialized knowledge of that form of statistical analysis; and

the module has no substantial requirement for specialized knowledge of particular functions provided by the system.

2. A method as in claim 1, wherein that interface provides for exchange of data between the module and the system.

3. A method as in claim 1, wherein that ontology includes a combat model.

4. A method as in claim 1, wherein the module includes a set of derived features responsive to data crossing the interface.

5. A method as in claim 1, wherein the steps of automatically configuring are responsive to at least a portion of code for the system.

6. A method as in claim 1, wherein that ontology includes a model of a game world.

7. A method as in claim 1, wherein that form of statistical analysis includes a form of machine learning.

8. A method as in claim 7, wherein that form of machine learning includes a portion capable of generating a behavior defined within that ontology.

9. A method as in claim 7, further including

engaging in commerce with respect to rights to at least a portion of that form of statistical analysis.

10. A method as in claim 7, wherein that form of statistical analysis in an application program is consistent with that ontology.

11. An apparatus including memory or mass storage for storing program instructions, the instructions associated with

defining an ontology specifying an application domain;

providing a module for at least one form of statistical analysis within that ontology; and

automatically configuring that module in a computing device in response to a system that is consistent with that ontology, with an effect of generating an interface between the module and the system, wherein the interface is specified at least in part by the module and at least in part by the system;

wherein

the system has no substantial requirement for specialized knowledge of that form of statistical analysis; and

the module has no substantial requirement for specialized knowledge of the particular functions provided by the system.

12. An apparatus as in claim 11, wherein that interface is associated with instructions for exchange of data between the module and the system.

13. An apparatus as in claim 11, wherein that ontology includes a combat model.

14. An apparatus as in claim 11, wherein the module includes a set of derived features responsive to data crossing the interface.

15. An apparatus as in claim 11, wherein the steps of automatically configuring are responsive to one or more instructions associated with the system.

16. An apparatus as in claim 11, wherein that ontology includes a model of a game world.

17. An apparatus as in claim 11, wherein that form of statistical analysis includes a form of machine learning.

18. An apparatus as in claim 17, wherein that form of machine learning includes a portion capable of generating a behavior defined within that ontology.

19. An apparatus as in claim 17, wherein the instructions further comprises engaging in commerce with respect to rights to at least a portion of that form of statistical analysis.

20. An apparatus as in claim 17, wherein that form of statistical analysis in a set of instructions associated with an application program is consistent with that ontology.

21. An apparatus including:

means for defining an ontology specifying an application domain;

means for providing a module for at least one form of statistical analysis within that ontology; and

means for automatically configuring that module in a computing device in response to a system that is consistent with that ontology, with the effect of generating an interface between the module and the system, wherein the interface is specified at least in part by the module and at least in part by the system;

wherein

the system has no substantial requirement for specialized knowledge of that form of statistical analysis; and

the module has no substantial requirement for specialized knowledge of the particular functions provided by the system.

22. An apparatus as in claim 21, wherein that interface includes means for exchange of data between the module and the system.

23. An apparatus as in claim 21, wherein that ontology includes a combat model.

24. An apparatus as in claim 21, wherein the module includes a set of derived features responsive to data crossing the interface.

25. An apparatus as in claim 21, wherein the means for automatically configuring is responsive to at least a portion of code for the system.

26. An apparatus as in claim 21, wherein that ontology includes a model of a game world.

27. An apparatus as in claim 21, wherein that form of statistical analysis includes a form of machine learning.

28. An apparatus as in claim 27, wherein that form of machine learning includes means for generating a behavior defined within that ontology.

29. An apparatus as in claim 27, including means for engaging in commerce with respect to rights to at least a portion of that form of statistical analysis.

30. An apparatus as in claim 27, including means for including that form of statistical analysis in an application program consistent with that ontology.

31. A system including:

specialized elements that are restricted to a particular domain of data analysis or processing, wherein the particular domain is defined by an ontology; and

configurable data, provided by a module for at least one form of statistical analysis within that ontology, that permits the specialized elements to be tailored to a particular application, thereby expanding applicability of the specialized elements to a plurality of applications within the particular domain.

32. A system as in claim 31, wherein

the specialized elements are provided by a supplier to a developer without the supplier having detailed knowledge of structures and internal operations used by the particular application;

and

the particular application is generated by the developer without the developer having detailed knowledge of internal operations used by the specialized elements.

33. A system as in claim 32, wherein the particular domain is a particular form of game, simulation, or analysis program.

34. A system as in claim 33, wherein the particular form of game, simulation, or analysis program is a battlefield game, simulation, or analysis program.

35. A system as in claim 33, wherein the particular form of game, simulation, or analysis program is a financial game, simulation, or analysis program.

36. A system as in claim 32, wherein the specialized elements enable statistical analysis, data mining, machine learning, online learning, or online analytical processing in the particular domain.

37. A system as in claim 32, wherein the configurable data includes templates of configurable data definitions that, once configured, provide a link between the particular application and the specialized elements.

38. A system as in claim 37, wherein the configurable data includes one or more header files that define structures for features used by the application, whereby the specialized elements can access those features.

39. A system as in claim 37, wherein the configurable data includes one or more parameters that specify predicates and targets for the specialized elements, whereby the specialized elements can respond to queries from the particular application.

40. A system as in claim 37, wherein the configurable data includes

one or more header files that define structures for features used by the application, whereby the specialized elements can access those features;

and

one or more parameters that specify predicates and targets for the specialized elements, whereby the specialized elements can respond to queries from the particular application.

41. A method including the steps of

using specialized elements that are restricted to a particular domain of data analysis of processing, wherein the particular domain is defined by an ontology;

configuring configurable data, provided by a module for at least one form of statistical analysis within that ontology, that permits the specialized elements to be tailored to a particular application, wherein applicability of the specialized elements is expanded to a plurality of applications within the particular domain; and

executing the particular application on a computing device to generate a result, wherein the configurable data includes one or more parameters that specify predicates and targets for the specialized elements, and wherein the specialized elements are capable of responding to queries from the particular application.

42. A method as in claim 41 wherein the specialized elements are provided by a supplier to a developer without the supplier having detailed knowledge of internal operations used by the specialized elements.

43. A method as in claim 42, wherein the particular domain is a particular form of game, simulation, or analysis program.

44. A method as in claim 43, wherein the particular form of game, simulation, or analysis program is a battlefield game, simulation, or analysis program.

45. A method as in claim 43, wherein the particular form of game, simulation, or analysis program is a financial game, simulation, or analysis program.

46. A method as in claim 42, wherein the specialized elements enable statistical analysis, data mining, machine learning, online learning, or online analytical processing in the particular domain.

47. A method as in claim 42, wherein the configurable data includes templates of configuarable data definitions that, once configured, provide a link between the particular application and the specialized elements.

48. A method as in claim 47, wherein the configurable data includes one or more header files that define structures for features used by the application wherein the specialized elements can access the features.

49. A method as in claim 47, wherein the configurable data includes one or more parameters that specify the predicates and targets for the specialized elements, wherein the specialized elements can respond to queries from the particular application.