Decision Making and Planning/Prediction System for Human Intention Resolution

• US 20150286943A1
• Filed: 04/06/2014
• Published: 10/08/2015
• Est. Priority Date: 04/06/2014
• Status: Abandoned Application

• Current Assignee: James Qingdong Wang
• Original Assignee: AI Laboratories, Inc.
• Inventors: Wang, James Qingdong, Chen, HongJhe
• Application Number:
  US14/246,113
• Publication Number:
  US 20150286943A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/90332 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

Embodiments of the present invention provide unique artificial intelligent information processing models. These include: the planning processing model and summarization model, where it accepts a sentence or phrase from the user, looks for the root concept of representation, enumerates related things for the concept, organizes a plan as possible steps to implement the concept, and recommends related information or detail description based on the plan. It also includes an execution module, which provides details to the user to fulfill the objectives.

Claims

1. A system for receiving user inputs, determining the user'"'"'s intent, and rendering output data related to the user'"'"'s inputs comprising:

an intelligent decision component that receives an input of a user, wherein the component determines a user'"'"'s intent;

a planning processing component for determining a result based on the user'"'"'s determined intent, wherein the result comprises a plan having a list of one or more action items to fulfill the plan; and

a summarization processing component for rendering the result on a computing device accessible to the user.

2. The system of claim 1, wherein the intelligent decision component receives a natural language input from the user.

3. The system of claim 1, wherein the component determines a user'"'"'s intent based on an interaction with the user comprising questions generated to the user.

4. The system of claim 3, wherein the questions generated depend in part upon unstructured language documents.

5. The system of claim 1, wherein the system generates suggestions before receiving the input from the user.

6. The system of claim 5, wherein the suggestions are based on one or more of a user'"'"'s profile, a user'"'"'s input history, language grammar analysis, language correction, or a probability method.

7. The system of claim 1, wherein the list of action items is in an order in which each step must be accomplished sequentially to execute the result.

8. The system of claim 1, wherein the plan comprises or more of a:

a travel plan;

a study plan;

a work plan;

a manufacturing plan;

a fabrication plan;

a research plan;

a shopping plan;

a networking plan; and

an entertainment plan.

9. The system of claim 1, wherein a user can interact with the results by one or more of:

share the results with a social network application;

email the result;

text message the results;

and add the results to a calendar application.

10. The system of claim 1, wherein the intent of the user is derived using a concept representation component to interpret the user'"'"'s input based upon one or more of:

a profile analysis;

common-sense knowledge representation;

semantic reasoning;

domain knowledge representation;

ontology reasoning; and

news.

11. The system of claim 1, wherein the rendered results are from one or more of the following categories:

what is related to a concept of the user'"'"'s input;

what is necessary to the concept of the user'"'"'s input;

what is important to the concept of the user'"'"'s input;

what people usually do for the concept of the user'"'"'s input; and

special consideration of the concept of the user'"'"'s input.

12. The system of claim 1, wherein the list of one or more action items associated with the plan comprises one or more of:

how to implement the result of planning processing;

where to implement the result of planning processing;

when to implement the result of planning processing;

who is involved in the result of planning processing; and

what is involved in the result of planning processing.