Generative Investment Method and System

• US 20110112986A1
• Filed: 01/17/2011
• Published: 05/12/2011
• Est. Priority Date: 01/18/2005
• Status: Abandoned Application

• Current Assignee: Manyworlds Incorporated
• Original Assignee: Manyworlds Incorporated
• Inventors: Flinn, Steven Dennis, Moneypenny, Naomi Felina
• Application Number:
  US13/007,958
• Publication Number:
  US 20110112986A1
• Time in Patent Office: Days
• US Class Current: 705/36.R
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis

Abstract

A generative investment process method and system is disclosed for managing investment opportunities. The process decomposes investment opportunities into capability components and represents the opportunities and capability components as elements of a computer-implemented combinatorial model. The process may identify uncertainties associated with elements of the combinatorial model, generate expected values of information gathering actions, make inferences from the results of the information gathering actions, and update the combinatorial model accordingly. New investments may be generated basis combinatorial operations on elements of the combinatorial model.

Claims

1. A method, comprising:

decomposing a plurality of investment opportunities into capability components;

establishing a fuzzy network of objects executed on a processor-based computing device comprising a combinatorial map, wherein elements of the combinatorial map comprise the plurality of opportunities and the capability components;

reducing an uncertainty associated with an element of the combinatorial map through execution of an information gathering action; and

modifying the fuzzy network of objects in accordance with the reduced uncertainty.

2. The method of claim 1, further comprising:

applying a combinatorial operation to the combinatorial map; and

generating a new opportunity.

3. The method of claim 1, further comprising:

determining at least one affinity between a first capability component and a second capability component.

4. The method of claim 1, further comprising:

accessing a probability distribution representing the uncertainty.

5. The method of claim 1, further comprising:

generating an expected value of the information gathering action.

6. The method of claim 1, further comprising:

applying an experimental design process to elements of the combinatorial map.

7. The method of claim 1, further comprising:

evaluating a plurality of the opportunities based on decision criteria.

8. The method of claim 1, further comprising:

identifying a plurality of investment opportunities, wherein the investment opportunities are selected from a group consisting of solutions to an unfulfilled marketplace need, commercial venture opportunities, corporate venture opportunities, research opportunities, development opportunities, innovation projects, business development opportunities, business growth opportunities, capital allocation opportunities, business operational opportunities, and private individual investment opportunities.

9. The method of claim 1, further comprising:

decomposing a plurality of investment opportunities into associated capability components, wherein the capability components are selected from a group consisting of products, technologies, services, skills, relationships, brands, mindshare, methods, processes, financial capital, financial assets, intellectual capital, intellectual property, physical assets, compositions of matter, life forms, physical locations, and people.

10. A method, comprising:

accessing an uncertainty associated with an entity of a fuzzy network of objects executed on a processor-based device comprising a combinatorial map, the combinatorial map comprising entities, the entities comprising opportunities, capability components, and affinities;

planning an action to attain information about the uncertainty;

attaining information about the uncertainty; and

modifying the fuzzy network in accordance with the reduced uncertainty.

11. The method of claim 10, further comprising:

accessing the uncertainty, wherein the uncertainty is represented by a probability distribution.

12. The method of claim 10, further comprising:

determining the expected value of attaining the information about the uncertainty.

13. The method of claim 10, further comprising:

planning a plurality of actions to attain information about the uncertainty; and

generating a sequence of the plurality of the actions.

14. The method of claim 10, further comprising:

applying a statistical inferencing model to the attained information.

15. A system, comprising:

a fuzzy network of objects executed on a processor-based computing device comprising a combinatorial map, the entities of the combinatorial map comprising opportunities, capability components, and affinities therebetween, wherein the opportunities comprise capability components;

an uncertainty associated with an entity of the combinatorial map;

a computer-implemented function that accesses the result of an information gathering act that reduces the uncertainty; and

a computer-implemented function that modifies the combinatorial map in accordance with the result of the information gathering action.

16. The system of claim 15, further comprising:

a probability distribution associated with the uncertainty.

17. The system of claim 15, further comprising:

an experimental design function.

18. The system of claim 15, further comprising:

a function that makes a statistical inference from the result of the information gathering act.

19. The system of claim 15, further comprising:

a function that evaluates an entity of the combinatorial map based on decision criteria.

20. The system of claim 15, further comprising:

a function that generates a new opportunity by applying a combinatorial operation to the combinatorial map.