Mutually adaptive systems

• US 7,493,294 B2
• Filed: 03/13/2007
• Issued: 02/17/2009
• 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:
  US11/685,587
• Publication Number:
  US 20070174220A1
• Time in Patent Office: 707 Days
• Field of Search: 706/12, 706/45, 706/46, 710/303
• US Class Current: 706/12
• 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 mutually adaptive system is disclosed. The mutually adaptive system enables a plurality of constituent systems to interact and mutually adapt to their interactions. Adaptive recommendations may be generated and delivered from a first constituent system to a second constituent system based, at least in part, on interactive behaviors between the two systems. Delivery of these adaptive recommendations may include modification of structural aspects of the recipient constituent system. One or more of the constituent systems may include a representation of one or more people, and a first constituent system may include a representation of a second constituent system.

Claims

1. A mutually adaptive system, comprising:

a first computer-based system comprising a structural aspect and a function to interact with a second computer-based system;

a second computer-based system comprising a structural aspect and a usage aspect comprising usage behaviors, wherein at least a subset of the usage behaviors are associated with a plurality of interactions between the first computer-based system and the second computer-based system;

a function to generate an adaptive recommendation based, at least in part, on infererences of non-explicitly indicated preferences derived from patterns of the usage behaviors associated with the plurality of interactions between the first computer implemented computer-based system and the second computer-based system; and

a function to deliver the adaptive recommendation to the first computer-based system.

2. The system of claim 1, wherein a first computer-based system comprising a structural aspect and a function to interact with a second computer-based system comprises:

a usage aspect comprising usage behaviors, wherein at least a subset of the usage behaviors are associated with interactions with the second computer-based system.

3. The system of claim 1, wherein a first computer-based system comprising a structural aspect and a function to interact with a second computer-based system comprises:

a representation of a person'"'"'s related actions.

4. The system of claim 1, wherein a second computer-based system comprising a structural aspect and a usage aspect comprising usage behaviors, wherein at least a subset of the usage behaviors are associated with a plurality of interactions between the first computer-based system and the second computer-based system comprises:

a representation of a person'"'"'s related actions.

5. The system of claim 1, wherein a second computer-based system comprising a structural aspect and a usage aspect comprising usage behaviors, wherein at least a subset of the usage behaviors are associated with a plurality of interactions between the first computer-based system and the second computer-based system comprises:

a representation of the first computer-based system.

6. The system of claim 1, wherein a function to generate an adaptive recommendation based, at least in part, on infererences of non-explicitly indicated preferences derived from patterns of the usage behaviors associated with the plurality of interactions between the first computer-based system and the second computer-based system comprises:

a function to generate an adaptive recommendation based, at least in part, on the physical location of the first computer-based system.

7. The system of claim 1, wherein a function to deliver the adaptive recommendation to the first computer-based system comprises:

a function to apply the adaptive recommendation to modify the structural aspect of the first computer-based system.

8. The system of claim 7, wherein a function to apply the adaptive recommendation to modify the structural aspect of the first computer-based system comprises:

a function that automatically modifies a structural element, wherein the function that automatically modifies a structural element is selected from the group consisting of a function to generate a new relationship, a function to modify an existing relationship, a function to delete an existing relationship, a function to add an object, a function to modify an object, and a function to delete an object.

9. The system of claim 1, further comprising:

a function to combine a structural subset of the first computer-based system and a structural subset of the second computer-based system.

10. The system of claim 9, wherein a function to combine a structural subset of the first computer-based system and a structural subset of the second computer-based system comprises:

an object evaluation function.

15. The system of claim 1, further comprising:

a function to generate an adaptive recommendation based, at least in part, on the physical location of the second computer-based system.

16. The system of claim 1, wherein a function to deliver an adaptive recommendation from the first computer-based system to the second computer-based system, wherein the delivered adaptive recommendation is generated based, at least in part, on inferred preferences derived from the usage behaviors of the second computer-based system comprises:

a function to apply the adaptive recommendation to modify the structural aspect of the second computer-based system.

17. The system of claim 16, wherein a function to apply the adaptive recommendation to modify the structural aspect of the second computer-based system comprises:

a function that automatically modifies a structural element, wherein the function that automatically modifies a structural element is selected from the group consisting of a function to generate a new relationship, a function to modify an existing relationship, a function to delete an existing relationship, a function to add an object, a function to modify an object, and a function to delete an object.

11. A mutually adaptive system, comprising:

a first computer-based system comprising a structural aspect, a usage aspect comprising usage behaviors associated with a second computer-based system, and a function to generate an adaptive recommendation based, at least in part, on inferences of non-explicitly indicated preferences from usage behaviors;

a second computer-based system comprising a structural aspect, a usage aspect comprising usage behaviors associated with the first computer-based system, and a function to generate an adaptive recommendation based, at least in part, on inferences of non-explicitly indicated preferences from usage behaviors; and

a function to deliver an adaptive recommendation from the first computer-based system to the second computer-based system, wherein the delivered adaptive recommendation is generated based, at least in part, on inferred preferences derived from the usage behaviors of the second computer-based system.

12. The system of claim 11, wherein a first computer-based system comprising a structural aspect, a usage aspect comprising usage behaviors associated with a second computer-based system, and a function to generate an adaptive recommendation base, at least in part, on inferences of non-explicitly indicated preferences from usage behaviors comprises:

a representation of a person'"'"'s related actions.

13. The system of claim 11, wherein a first computer-based system comprising a structural aspect, a usage aspect comprising usage behaviors associated with a second computer-based system, and a function to generate an adaptive recommendation base least in part, on inferences of non-explicitly indicated preferences from usage behaviors comprises:

a representation of the second computer-based system.

14. The system of claim 11, further comprising:

a representation of a first person'"'"'s related actions; and

a representation of a second person'"'"'s related actions.

18. The system of claim 11, further comprising:

a function to combine a structural subset of the first computer-based system and a structural subset of the second computer-based system.

19. The system of claim 18, wherein a function to combine a structural subset of the first computer-based system and a structural subset of the second computer-based system comprises:

an object evaluation function.

20. An article comprising a physical computer readable medium storing instructions for enabling a processor-based system to:

establish a first computer implemented system comprising a structural aspect and a function to interact with a second computer-based system;

establish a second system comprising a structural aspect and a usage aspect comprising usage behaviors, wherein at least a subset of the usage behaviors are associated with a plurality of interactions between the first computer-based system and the second computer-based system;

generate an adaptive recommendation based, at least in part, on infererences of non-explicitly indicated preferences derived from patterns of the usage behaviors associated with the plurality of interactions between the first computer-based system and the second computer-based system; and

deliver the adaptive recommendation to the first computer-based system.