Adaptive fuzzy network system and method

• US 7,526,464 B2
• Filed: 03/13/2007
• Issued: 04/28/2009
• Est. Priority Date: 11/28/2003
• Status: Active Grant

• Current Assignee: Gula Consulting Limited Liability Company (Intellectual Ventures LLC)
• Original Assignee: Manyworlds Incorporated
• Inventors: Moneypenny, Naomi Felina, Flinn, Steven Dennis
• Primary Examiner(s): Hirl, Joseph P
• Application Number:
  US11/685,605
• Publication Number:
  US 20070156614A1
• Time in Patent Office: 777 Days
• Field of Search: 706/900, 706/52, 707/100, 705/2, 705/4, 705/6
• US Class Current: 706/52
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 20/10 using kernel methods, e.g. support vector machines [SVM]
• CPC Class Codes: G06N 3/126 Evolutionary algorithms, e.g. genetic algorithms or genetic programming
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 5/048 Fuzzy inferencing
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G06N 7/02 using fuzzy logic computing arrangements based on biological models G06N3/00; computing arrangements using knowledge-based models G06N5/00
• CPC Class Codes: G06N 7/023 Learning or tuning the parameters of a fuzzy system
• CPC Class Codes: G06Q 30/0185 Product, service or business identity fraud

Abstract

A system and method of adaptive fuzzy networks is disclosed. Fuzzy networks comprise a network of computer-based objects and relationships among the objects, where the relationships may be by degree. The adaptive fuzzy network system provides functions for user interactions with the fuzzy network, including functions to modify the fuzzy network and to provide security and privacy controls. The adaptive fuzzy network system also provides functions to generate recommendations based, at least in part, on usage behaviors associated with the fuzzy network. Usage metrics associated the fuzzy network and its subsets are generated by the adaptive fuzzy network system, including metrics associated with people derivatively based on objects with which they are associated.

Claims

1. An adaptive fuzzy network system, comprising:

a computer-implemented fuzzy network comprising a plurality of objects, wherein two objects of the plurality of objects have one or more relationships types, and one or more relationships associated with each relationship type, each relationship being uni-directional or bi-directional, and each direction of each relationship has an associated relationship indicator, wherein the relationship indicators associated with each direction are not necessarily the same magnitude;

a usage aspect comprising usage behaviors of one or more users associated with the fuzzy network;

a first function to generate a recommendation for delivery to a user based, at least in part, on inferred interests of the user derived from the said usage behaviors;

a second function to specify security for a subset of the fuzzy network; and

a third function to modify a subset of the fuzzy network in accordance with the specified security.

2. The system of claim 1, further comprising:

a fourth function to generate a usage metric associated with a subset of the fuzzy network.

3. The system of claim 2, further comprising:

a fifth function to generate a usage metric associated with a person represented as an object derivatively from usage behaviors associated with objects that are associated with said person.

4. The system of claim 2, wherein a fourth function to generate a usage metric associated with a subset of the fuzzy network comprises:

a fifth function to generate an influence metric associated with a subset of the fuzzy network.

5. The system of claim 1, further comprising:

a fourth function to control the privacy level of a user'"'"'s behaviors.

6. The system of claim 1, further comprising:

a fourth function to create a personal fuzzy network.

7. The system of claim 1, wherein a second function to specify security for a subset of the fuzzy network comprises:

a fourth function to selectively share a fuzzy network subset.

8. The system of claim 7, wherein a fourth function to selectively share a fuzzy network subset comprises:

a fifth function to selectively share one or more objects representing a person.

9. The system of claim 1, wherein a third function to modify a subset of the fuzzy network in accordance with the specified security comprises:

a fourth function that automatically modifies the subset of the fuzzy network.

10. The system of claim 1, wherein a third function to modify a subset of the fuzzy network in accordance with the specified security comprises:

a fourth function to combine a plurality of subsets of the fuzzy network.

11. The system of claim 10, wherein a fourth function to combine a plurality of subsets of the fuzzy network comprises:

a fuzzy network operator function, wherein the fuzzy network operator function is selected from a group consisting of, a fuzzy network union function, a fuzzy network intersection function, a fuzzy network difference function, a fuzzy network complement function, and a fuzzy network resolution function.

12. The system of claim 1, further comprising:

a fourth function to automatically create fuzzy network subsets.

13. The system of claim 1, further comprising:

a fourth function to automatically form user communities.

14. A computer-based adaptive fuzzy network method, comprising:

interacting with a computer-implemented fuzzy network comprising a plurality of objects, wherein two objects of the plurality of objects have one or more relationships types, and one or more relationships associated with each relationship type, each relationship being uni-directional or bi-directional, and each direction of each relationship has an associated relationship indicator, wherein the relationship indicators associated with each direction are not necessarily the same magnitude;

contributing a behavior to a usage aspect comprising usage behaviors of one or more users associated with the fuzzy network;

applying a fuzzy network navigation-assisting recommendation based, at least in part, on inferred interests derived from the said usage behaviors;

specifying security for a subset of the fuzzy network; and

modifying a subset of the fuzzy network in accordance with the specified security.

15. The method of claim 14, further comprising:

controlling the privacy level of a user'"'"'s behaviors.

16. The method of claim 14, wherein specifying security for a subset of the fuzzy network comprises:

sharing selectively a fuzzy network subset with other users.

17. The method of claim 14, wherein modifying a subset of the fuzzy network in accordance with the specified security comprises:

combining a plurality of subsets of the fuzzy network.