Adaptive Recombinant Process Methods

• US 20070203589A1
• Filed: 11/13/2006
• Published: 08/30/2007
• Est. Priority Date: 04/08/2005
• Status: Abandoned Application

• Current Assignee: Manyworlds Incorporated
• Original Assignee: Manyworlds Incorporated
• Inventors: Moneypenny, Naomi, Flinn, Steven
• Application Number:
  US11/559,145
• Publication Number:
  US 20070203589A1
• Time in Patent Office: Days
• US Class Current: 700/29
• CPC Class Codes: G06F 16/60 of audio data
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/0633 Workflow analysis
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

Adaptive recombinant processes enable business processes to be more adaptive to the changing needs and preferences of participants in the processes, and other business circumstances. Processes such as marketing, business development, and innovation can adapt to the needs of process participants through application of preference inferences derived from systems usage behaviors associated with process participants. Application of adaptive recombinant systems can therefore enable a process to become more valuable to the participants in the process through the facilitation of direct or indirect collaborative learning.

Claims

1. An adaptive process method comprising:

applying a computer-based system to support participation in a process;

contributing usage behaviors to the computer-based system wherein the usage behaviors are associated with participation in the process by a plurality of process participants; and

applying automatically generated adaptive recommendations to facilitate the participation in the process, wherein the recommendations are based, at least in part, on the process usage behaviors of the plurality of process participants.

2. The method of claim 1, wherein applying a computer-based system to support participation in a process comprises:

establishing a process; and

establishing one or more activities corresponding to the process.

3. The method of claim 1, applying a computer-based system to support participation in a process further comprising:

supporting a particular process, the particular process being selected from a group consisting of marketing, sales, innovation, research and development, product development, service development, solutions development, business development, asset management, manufacturing, maintenance, supply chain management, logistics and transportation, procurement, finance, accounting, investment or portfolio management, human resources, education, training, publishing and media, entertainment, information technology, legal, administrative, security, military and business strategy.

4. The method of claim 3, further comprising:

participating in an innovation process, wherein the innovation process comprises a multi-party adaptive opportunity and capability network.

5. The method of claim 1, further comprising:

applying a computer-based system comprising a structural aspect, a representation of process workflow, a usage aspect, a content aspect, and an adaptive recommendation function.

6. The method of claim 1, wherein contributing usage behaviors to the computer-based system wherein the usage behaviors are associated with the participation in the process by a plurality of process participants comprises:

contributing usage behaviors associated with categories of usage behaviors, the categories of usage behaviors being selected from a group consisting of navigation and access patterns, collaborative patterns, direct feedback patterns, subscription patterns, self-profiling patterns, reference patterns, physical location patterns, attention patterns, and usage temporal patterns.

7. The method of claim 1, wherein applying automatically generated adaptive recommendations to facilitate participation in the process, wherein the recommendations are based, at least in part, on the process usage behaviors of the plurality of process participants comprises:

receiving adaptive recommendations while participating in the process.

8. The method of claim 7, wherein receiving adaptive recommendations while participating in the process comprises:

receiving an adaptive recommendation, the adaptive recommendation being selected from a group consisting of a visual-based recommendation, an audio-based recommendation, and a tactile-based recommendation.

9. The method of claim 1, further comprising:

enabling a real-time learning environment for one or more process participants.

10. The method of claim 9, wherein enabling a real-time learning environment for one or more process participants further comprises:

integrating educational content within the adaptive recommendations.

11. The method of claim 9, wherein enabling a real-time learning environment for one or more process participants further comprises:

integrating a learning management system with the real-time learning environment.

12. The method of claim 1, wherein applying automatically generated adaptive recommendations to facilitate the participation in the process, wherein the recommendations are based, at least in part, on the process usage behaviors of the plurality of process participants comprises:

modifying the computer-based representation of the process.

13. The method of claim 12, wherein modifying the computer-based representation of the process comprises:

modifying the workflow of the process.

14. An adaptive recombinant process method comprising:

establishing a plurality of processes and a computer-based representation of each process;

contributing usage behaviors to a computer-based system wherein the usage behaviors are associated with participation in at least one of the plurality of processes; and

applying an adaptive recombinant function to facilitate adaptively combining the plurality of processes.

15. The method of claim 14, further comprising:

syndicating a subset of the computer-based representation of a first process; and

combining the syndicated subset of the computer-based representation of the first process with a subset of a computer-based representation of a second process.

16. The method of claim 15, wherein syndicating a subset of the computer-based representation of a first process comprises:

applying an intelligent swarm peer-to-peer information transfer algorithm to the syndication of the computer-based representation.

17. The method of claim 15, wherein establishing a plurality of processes and a computer-based representation of each process comprises:

establishing a process network-based representation of at least one of the processes.

18. The method of claim 14, further comprising:

applying an evaluation function to facilitate evolvable processes.

19. An adaptive viral marketing method comprising:

establishing a marketing process;

establishing a computer-based system to support the process, wherein the computer-based system comprises a structural aspect and a content aspect;

syndicating to a recipient a subset of the structural aspect, wherein the subset of the structural aspect comprises a plurality of objects and a relationship between a first of the plurality of objects and a second of the plurality of objects, to promote marketing objectives; and

enabling the recipient to syndicate the subset of the structural aspect to another party.

20. The method of claim 19, further comprising:

enabling the recipient to modify the syndicated subset of the structural aspect; and

enabling the recipient to syndicate the modified subset of the structural aspect to another party.