DYNAMICALLY EVOLVING COGNITIVE ARCHITECTURE SYSTEM PLANNING

• US 20140380268A1
• Filed: 06/17/2014
• Published: 12/25/2014
• Est. Priority Date: 06/20/2013
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd. (Samsung Group)
• Original Assignee: Viv Labs, Inc. (Samsung Group)
• Inventors: GABEL, Mark, BRIGHAM, Christopher, CHEYER, Adam
• Granted Patent: US 10,083,009 B2
• Time in Patent Office: Days
• US Class Current: 717/104
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30
• CPC Class Codes: G06F 8/00 Arrangements for software engineering testing or debugging G06F11/36; administrative, planning or organisation aspects of software project management G06Q10/06
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation

Abstract

Dynamically evolving cognitive architecture system planning is described. A system forms an intent based on a user input, and creates a plan based on the intent. The plan includes a first action object that transforms a first concept object associated with the intent into a second concept object and also includes a second action object that transforms the second concept object into a third concept object associated with a goal of the intent. The first action object and the second action object are selected from multiple action objects. The system executes the plan, and outputs a value associated with the third concept object.

Claims

1. A system for a dynamically evolving cognitive architecture planning, the system comprising:

one or more processors; and

a non-transitory computer readable medium storing a plurality of instructions, which when executed, cause the one or more processors to;

form an intent based on a user input;

create a first plan based on the intent, wherein the first plan comprises a first action object that transforms a first concept object associated with the intent into a second concept object and comprises a second action object that transforms the second concept object into a third concept object associated with a goal of the intent, wherein the first action object and the second action object are selected from a plurality of action objects;

create a second plan based on the intent, wherein the second plan comprises a third action object that transforms the first concept object associated with the intent into a fourth concept object and comprises a fourth action object that transforms the fourth concept object into the third concept object associated with the goal of the intent, wherein the third action object and the fourth action object are selected from the plurality of action objects;

select the first plan for execution based on comparison of the first plan to the second plan based on at least one of an action object cost, an action object quality, and a number of planned action objects;

execute the first plan, and

output a value associated with the third concept object.

2. The system of claim 1, wherein forming the intent comprises a natural language intent interpreter forming the intent.

3. The system of claim 1, wherein forming the intent comprises associating user data in the user input with the first concept object.

4. The system of claim 1, wherein forming the intent comprises outputting dialog that requests an additional user input.

5. The system of claim 4, wherein executing the first plan comprises using the additional user input to transform the first concept object into the third concept object.

6. The system of claim 1, wherein executing the first plan comprises using at least one of a user decision, a user preference, and user application contextual information to transform the first concept object into the third concept object.

7. The system of claim 1, wherein the user input is provided via at least one of typed entry of text via a keyboard, touch gestures, mouse gestures, and speech.

8. A computer-implemented method for a dynamically evolving cognitive architecture system planning, the method comprising:

forming an intent based on a user input;

creating a first plan based on the intent, wherein the first plan comprises a first action object that transforms a first concept object associated with the intent into a second concept object and comprises a second action object that transforms the second concept object into a third concept object associated with a goal of the intent, wherein the first action object and the second action object are selected from a plurality of action objects;

creating a second plan based on the intent, wherein the second plan comprises a third action object that transforms the first concept object associated with the intent into a fourth concept object and comprises a fourth action object that transforms the fourth concept object into the third concept object associated with the goal of the intent, wherein the third action object and the fourth action object are selected from the plurality of action objects;

selecting the first plan for execution based on comparison of the first plan to the second plan based on at least one of an action object cost, an action object quality, and a number of planned action objects;

executing the first plan, and

outputting a value associated with the third concept object.

9. The method of claim 8, wherein forming the intent comprises a natural language intent interpreter forming the intent.

10. The method of claim 8, wherein forming the intent comprises associating user data in the user input with the first concept object.

11. The method of claim 8, wherein forming the intent comprises outputting dialog that requests an additional user input.

12. The method of claim 11, wherein executing the first plan comprises using the additional user input to transform the first concept object into the third concept object.

13. The method of claim 8, wherein executing the first plan comprises using at least one of a user decision, a user preference, and user application contextual information to transform the first concept object into the third concept object.

14. A computer program product, comprising a non-transitory computer-readable medium having a computer-readable program code embodied therein to be executed by one or more processors, the program code including instructions to:

form an intent based on a user input;

create a first plan based on the intent, wherein the first plan comprises a first action object that transforms a first concept object associated with the intent into a second concept object and comprises a second action object that transforms the second concept object into a third concept object associated with a goal of the intent, wherein the first action object and the second action object are selected from a plurality of action objects;

create a second plan based on the intent, wherein the second plan comprises a third action object that transforms the first concept object associated with the intent into a fourth concept object and comprises a fourth action object that transforms the fourth concept object into the third concept object associated with the goal of the intent, wherein the third action object and the fourth action object are selected from the plurality of action objects;

select the first plan for execution based on comparison of the first plan to the second plan based on at least one of an action object cost, an action object quality, and a number of planned action objects;

execute the first plan, and

output a value associated with the third concept object.

15. The computer program product of claim 14, wherein forming the intent comprises a natural language intent interpreter forming the intent,

16. The computer program product of claim 14, wherein forming the intent comprises associating user data in the user input with the first concept object.

17. The computer program product of claim 14, wherein forming the intent comprises outputting dialog that requests an additional user input.

18. The computer program product of claim 14, wherein executing the first plan comprises using the additional user input to transform the first concept object into the third concept object.

19. The computer program product of claim 14, wherein executing the first plan comprises using at least one of a user decision, a user preference, and user application contextual information to transform the first concept object into the third concept object.

20. The computer program product of claim 14, wherein the user input is provided via at least one of typed entry of text via a keyboard, touch gestures, mouse gestures, and speech.