Information processing system for a value-based system

• US 20060224612A1
• Filed: 03/30/2005
• Published: 10/05/2006
• Est. Priority Date: 03/30/2005
• Status: Abandoned Application

• Current Assignee: Christopher Cowan, Natasha Todorovic
• Original Assignee: Christopher Cowan, Natasha Todorovic
• Inventors: Todorovic, Natasha, Cowan, Christopher
• Application Number:
  US11/093,755
• Publication Number:
  US 20060224612A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/117 Tagging; Marking up details of markup languages G06F40/143; Designating a block; Setting of attributes style sheets, e.g. eXtensible Stylesheet Language Transformation [XSLT], G06F40/154
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates

Abstract

Embodiments of the invention include an electronic processing system for determining states of existence for individuals or groups of individuals, or both. The system incorporates cognitive, psychological, and perceptual principles. The system includes a mechanism for obtaining input variables; one or more processors, a processing engine with one or more processing units for re-parameterizing input variables to graded category variables to accomplish functions such as human value characterization and grouping by similarities, a perceptual schema database, and an output generator that produces structured data.

Claims

1. An electronic processing system for determining states of existence for individuals or groups of individuals, or both, the system incorporating cognitive, psychological, and perceptual principles, the system comprising a mechanism for obtaining input variables;

one or more processors, a processing engine with one or more processing units for re-parameterizing input variables to graded category variables to accomplish functions such as human value characterization and grouping by similarities, a perceptual schema database, and an output generator that produces structured data.

2. The electronic processing system of claim 1 wherein the mechanism for obtaining input variables is a questionnaire.

3. The electronic processing system of claim 1 wherein the mechanism for obtaining input variables captures a response to an audio query.

4. The electronic processing system of claim 1 wherein the mechanism for obtaining input variables captures a response to a visual query.

5. The system of claim 1, wherein the processing units comprise algorithms and mechanisms that re-parameterize input variables which correspond to value-based attributes to concept variables corresponding to perceptual principles, and cognitive and psychological prototypes.

6. The system of claim 1, wherein the system processes linguistic data in an adaptive fashion, with the processing unit making adjustments to the data in the schema.

7. The system of claim 1, wherein data derived by psychological survey methods, including identification of typicality metrics, prototypes, relative ordinate designation, and relative context within a data structure, are used to determine the compatibility of an individual in an organization.

8. The System of claim 1, wherein data derived by psychological survey methods, including identification of typicality metrics, prototypes, relative ordinate designation, and relative context within a data structure, are used to determine negotiation strategies.

9. The System of claim 1, wherein data derived by psychological survey methods, including identification of typicality metrics, prototypes, relative ordinate designation, and relative context within a data structure, are used to change behavior of an individual or a group of individuals.

10. The System of claim 1, wherein data derived by psychological survey methods, including identification of typicality metrics, prototypes, relative ordinate designation, and relative context within a data structure, are used to predict behavior of an individual or a group of individuals.

11. The system of claim 1, wherein numerical data are re-parameterized into linguistic category data and organized within a perceptual schema and an image descriptor.

12. The system of claim 1, wherein a fuzzy perceptual inference system is employed to transform numeric data into linguistic data.

13. The system of claim 12, wherein data derived by psychological survey methods including typicality survey is employed to construct schemas that incorporate expert human knowledge.

15. A method of query processing in an electronic image retrieval system, comprising:

receiving one or more query input describing queries in a human value based questionnaire in linguistic terms;

translating the linguistic query input into a query value descriptor that conforms to the schema of claim 2;

comparing the query image descriptor to the value descriptor of values stored in a database; and

retrieving a value profile for an individual or a group with a value descriptor that most closely matches the query value descriptor.

14. Computer readable media for ordering a data structure for describing the data obtained from a questionnaire having queries related to human values, the data structure comprising:

numeric data that rank the query answers;

linguistic data that describe the human values measured;

indices that identify the data with each level of processing such as ordinate level within schema structure, perceptual schema, and human categorization; and

labels that associate the data with perceptual concepts.

16. A method of analyzing linguistic information comprising:

an electronic spreadsheet that accepts digital images and their image descriptors as input to its cells;

means for reading the data in the image descriptors; and

formulas that operate on the data contained in the image descriptors.