Reasoning engine services

• US 10,354,194 B2
• Filed: 05/30/2017
• Issued: 07/16/2019
• Est. Priority Date: 03/22/2011
• Status: Active Grant

• Current Assignee: Nant Holdings IP, LLC (NantWorks, LLC)
• Original Assignee: Patrick Soon-Shiong
• Inventors: Soon-Shiong, Patrick
• Primary Examiner(s): Holmes, Michael B
• Application Number:
  US15/608,921
• Publication Number:
  US 20170262542A1
• Time in Patent Office: 777 Days
• Field of Search: 706 47
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 5/025 Extracting rules from data
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06N 5/041 Abduction
• CPC Class Codes: G06N 5/043 Distributed expert systems; Blackboards
• CPC Class Codes: G06N 5/046 Forward inferencing; Production systems
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06T 9/00 Image coding bandwidth or redundancy reduction for static pictures H04N1/41; coding or decoding of static colour picture signals H04N1/64; methods or arrangements for coding, decoding, compressing or decompressing digital video signals H04N19/00
• CPC Class Codes: G06V 20/00 Scenes; Scene-specific elements control of digital cameras H04N23/60
• CPC Class Codes: G16H 20/00 ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

A reasoning engine is disclosed. Contemplated reasoning engines acquire data relating to one or more aspects of various environments. Inference engines within the reasoning engines review the acquire data, historical or current, to generate one or more hypotheses about how the aspects of the environments might be correlated, if at all. The reasoning engine can attempt to validate the hypotheses through controlling acquisition of the environment data.

Claims

1. A computer-based conclusion validation system, comprising:

at least one data space interface configured to couple with a data space represented by at least one information source over a network; and

a reasoning engine including a validation module comprising a non-transitory computer readable memory storing software instructions and a processor that, upon execution of the software instructions, is configurable to;

receive a hypothesized conclusion representing a suspected correlation between at least two target objects in the data space at the at least one information source;

construct a validation plan for the hypothesized conclusion from the suspected correlation where constructing the validation plan includes generating commands for the at least one data space interface and where the commands relate to automatically controlling an acquisition of data from the at least one data space corresponding to the at least two target objects;

acquire validation data from the data space according to the validation plan by submitting the commands to the at least one data space interface;

derive a merit score for the hypothesized conclusion based on the validation data and according to the validation plan; and

take an action responsive to a user in accordance with the hypothesized conclusion based on the merit score via a presentation module.

2. The system of claim 1, further comprising the presentation module.

3. The system of claim 1, wherein the presentation module comprises a web browser.

4. The system of claim 1, wherein the merit score is rendered via the presentation module along with the hypothesized conclusion.

5. The system of claim 1, wherein the merit score is rendered via the presentation module along with reasoning steps behind the hypothesized conclusion.

6. The system of claim 1, wherein the data space interface comprises at least one of the following:

an HTTP server, a sensor interface, a cell phone interface, an application program interface, and an internet interface.

7. The system of claim 1, wherein the at least one information source includes at least one of the following:

a weather station, a news outlet, a media outlet, a stock market, a web site, a web service, and a radio station.

8. The system of claim 1, wherein the validation data comprises at least one of the following:

a search query, a news event, weather data, a demographic, an identity, network usage data, location data, patient data, metadata, ambient data, and a time.

9. The system of claim 1, wherein the hypothesized conclusion comprises an assertion.

10. The system of claim 1, wherein the merit score indicates a false relationship among the at least two objects.

11. The system of claim 1, wherein the merit score indicates a true relationship among the at least two objects.

12. The system of claim 1, wherein the merit score represents an uncertainty.

13. The system of claim 1, wherein the merit score comprises a spectrum of values.

14. The system of claim 1, wherein the merit score varies with time.

15. The system of claim 1, wherein the merit score comprises a validity score for the hypothesized conclusion.

16. The system of claim 1, wherein the hypothesized conclusion lacks sound premises.

17. The system of claim 1, wherein the validation plan includes injecting data into the data space via the presentation module.

18. The system of claim 17, wherein the injected data includes at least one of the following types of data:

a survey, an advertisement, a recommendation, a query, a data request, and a sensor command.

19. The system of claim 17, wherein the injected data includes an inquiry directed to at least one user.

20. The system of claim 1, wherein the validation data comprises statistics compiled over time.