Adaptive Self-Modifying and Recombinant Systems

• US 20060200433A1
• Filed: 05/22/2006
• Published: 09/07/2006
• Est. Priority Date: 11/28/2003
• Status: Active Grant

• Current Assignee: World Assets Consulting AG LLC (Intellectual Ventures LLC)
• Original Assignee: Manyworlds Incorporated
• Inventors: Flinn, Steven Dennis, Moneypenny, Naomi Felina
• Granted Patent: US 7,539,652 B2
• Time in Patent Office: Days
• US Class Current: 706/12
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/048 Fuzzy inferencing

Abstract

An adaptive self-modifying system, a recombinant fuzzy network system, and an adaptive recombinant system are disclosed. The adaptive self-modifying system includes functions and algorithms for the self modification of structural elements, including relationships among system objects of the adaptive self-modifying system, based at least in part on usage behaviors associated with the system. The recombinant and adaptive recombinant systems feature functions for syndicating and combining fuzzy networks. The combining of the structural elements of the adaptive recombinant system may be based, at least in part, on usage behaviors associated with the system, and may be preferentially recombined based on evaluations of network “fitness.”

Claims

1. An adaptive self-modifying system, comprising:

a content aspect comprising information;

a structural aspect comprising the content aspect and associated objects and relationships;

a usage aspect, comprising captured usage behaviors, wherein the usage behaviors are associated with one or more users; and

a function that automatically modifies the structural aspect, wherein a modification is based, at least in part, on a plurality of usage behaviors of the one or more users corresponding to a plurality of usage behavior categories.

2. The adaptive self-modifying system of claim 1, wherein the information is selected from a group consisting of text, graphics, audio, video, interactive forms of content, applets, tutorials, courses, demonstrations, advertising content, modules, sections of executable code, and computer programs.

3. The adaptive self-modifying system of claim 1, the usage aspect further comprising one or more usage behaviors, wherein each usage behavior is associated with either a user, one or more user communities, or a user and one or more user communities simultaneously, wherein the user comprises a single-member subset of the one or more users and a community of the one or more user communities comprises a multiple-member subset of the one or more users.

4. The adaptive self-modifying system of claim 1, wherein a user of the one or more users is selected from a group consisting of a computer-based system, a second adaptive system, and a human being.

5. The adaptive self-modifying system of claim 1, the usage aspect further comprising:

usage behavior categories, wherein the usage behavior categories are selected from a group consisting of navigation and access patterns, collaborative patterns, direct feedback patterns, subscription patterns, self-profiling patterns, reference patterns, and physical location patterns.

6. The adaptive self-modifying system of claim 1, the usage aspect further comprising one or more user communities, wherein the one or more user communities are automatically generated based on usage behaviors.

7. The adaptive self-modifying system of claim 1, wherein an algorithm applies pattern matching of information embodied in the structural aspect and content aspect to produce content interpretation patterns, and associates the content interpretation patterns with usage patterns.

8. The adaptive self-modifying system of claim 1, wherein a function that automatically modifies the structural aspect 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 adaptive self-modifying system of claim 8, wherein a function to modify an object comprises:

a function that automatically modifies an information element of the content aspect.

10. The adaptive self-modifying system of claim 1, wherein a structural aspect comprising the content aspect and associated objects and relationships comprises:

a fuzzy network structure 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 bidirectional, 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.

11. The adaptive self-modifying system of claim 10, further comprising:

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 type, a function to generate a new relationship and associated relationship indicators, a function to modify a relationship indicator, a function to add an object, and a function to delete an object.

12. An adaptive recombinant system, comprising:

a content aspect comprising information;

a structural aspect comprising the content aspect and associated objects and relationships;

a usage aspect, comprising captured usage behaviors, wherein the usage behaviors are associated with one or more users; and

a function that automatically combines a plurality of subsets of the structural aspect, wherein a subset is comprised of a plurality of objects and at least one relationship, and wherein the combining is based, at least in part, on a plurality of usage behaviors of the one or more users corresponding to one or more usage behavior categories.

13. The adaptive recombinant system of claim 12, further comprising:

a syndication function, wherein the syndication function syndicates a structural subset to a destination structural subset.

14. The adaptive recombinant system of claim 12, further comprising:

an object evaluation function.

15. The adaptive recombinant system of claim 12, wherein a structural aspect comprising the content aspect and associated objects and relationships comprises:

a fuzzy network structure 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 unidirectional or bidirectional, 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.

16. The adaptive recombinant system of claim 15, further comprising:

a fuzzy network operator function, wherein the fuzzy network operator function is selected from a group consisting of a fuzzy network select function, 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.

17. A recombinant fuzzy network system, comprising:

a structural aspect comprising a fuzzy network structure, wherein the fuzzy network structure comprises 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 bidirectional, 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 the content aspect and associated objects and relationships;

a function to select a fuzzy network subset, wherein a fuzzy network subset comprises a plurality of objects and at least one relationship;

a function to syndicate a fuzzy network subset; and

a function to combine a plurality of fuzzy network subsets.

18. The recombinant fuzzy network system of claim 17, wherein a function to combine a plurality of fuzzy network subsets comprises:

an object evaluation function.

19. The recombinant fuzzy network system of claim 17, wherein a function to combine a plurality of fuzzy network subsets 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.

20. The recombinant fuzzy network system of claim 17, further comprising:

means to evaluate a plurality of fuzzy network structures; and

means to preferentially combine a plurality of fuzzy network structures based on evaluations of the fuzzy network structures.