Systems, Devices, and/or Methods for Managing Information

• US 20150363481A1
• Filed: 08/28/2013
• Published: 12/17/2015
• Est. Priority Date: 09/06/2012
• Status: Abandoned Application

• Current Assignee: Michael N. Haynes
• Original Assignee: Michael N. Haynes
• Inventors: Haynes, Michael N.
• Application Number:
  US14/012,339
• Publication Number:
  US 20150363481A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

Certain exemplary embodiments can provide a system, machine, device, manufacture, circuit, composition of matter, and/or user interface adapted for and/or resulting from, and/or a method and/or machine-readable medium comprising machine-implementable instructions for, activities that can comprise and/or relate to, automatically generating a story regarding a predetermined topic from a plurality of assertions.

Claims

1. A device, comprising:

an automated story generator that comprises a special purpose processor adapted to automatically;

access a plurality of crowd-sourced assertions from one or more predetermined databases, each of the one or more predetermined databases served by one or more predetermined physical servers;

assign a rank to each crowd-sourced assertion from the plurality of crowd-sourced assertions to form a ranked plurality of crowd-sourced assertions, each rank a reflection of a probabilistically-determined level of interest in the corresponding crowd-sourced assertion;

select a portion of the ranked plurality of crowd-sourced assertions, each crowd-sourced assertion in the portion having a rank that fulfills a predetermined ranking criteria;

from the portion of the ranked plurality of crowd-sourced assertions, generate a first machine-generated passage that demonstrates the one or more predetermined story elements, the first machine-generated passage comprising a first randomly-selected phrase from a first list of pre-determined phrases, the first machine-generated passage comprising one or more personal assertions that are directly related to a predetermined individual;

from the portion of the ranked plurality of crowd-sourced assertions, generate a second machine-generated passage that demonstrates the one or more predetermined story elements, the second machine-generated passage comprising a second randomly-selected phrase from a second list of pre-determined phrases, the second machine-generated passage comprising one or more general assertions that affect the predetermined individual and a plurality of people who are not in the family of the predetermined individual;

combine the first machine-generated passage, the second machine-generated passage, and one or more other machine-generated passages in a predetermined order to form a first story, each of the machine-generated passages of the first story perceivable by a human for each assertion that machine-generated passage comprises; and

store the first story in a machine-readable medium that comprises a physical structure.

2. A method comprising:

via an automated story generator that comprises a special purpose processor, automatically;

accessing a plurality of crowd-sourced assertions from one or more predetermined databases, each of the one or more predetermined databases served by one or more predetermined physical servers;

assigning a rank to each crowd-sourced assertion from the plurality of crowd-sourced assertions to form a ranked plurality of crowd-sourced assertions, each rank a reflection of a probabilistically-determined level of interest in the corresponding crowd-sourced assertion;

selecting a portion of the ranked plurality of crowd-sourced assertions, each crowd-sourced assertion in the portion having a rank that fulfills a predetermined ranking criteria;

from the portion of the ranked plurality of crowd-sourced assertions, generating a first machine-generated passage that demonstrates the one or more predetermined story elements, the first machine-generated passage comprising a first randomly-selected phrase from a first list of pre-determined phrases, the first machine-generated passage comprising one or more personal assertions that are directly related to a predetermined individual;

from the portion of the ranked plurality of crowd-sourced assertions, generating a second machine-generated passage that demonstrates the one or more predetermined story elements, the second machine-generated passage comprising a second randomly-selected phrase from a second list of pre-determined phrases, the second machine-generated passage comprising one or more general assertions that affect the predetermined individual and a plurality of people who are not in the family of the predetermined individual;

combining the first machine-generated passage, the second machine-generated passage, and one or more other machine-generated passages in a predetermined order to form a first story, each of the machine-generated passages of the first story perceivable by a human for each assertion that machine-generated passage comprises; and

storing the first story in a machine-readable medium that comprises a physical structure.

3. A first machine-readable medium comprising a first physical structure and storing processor-implementable instructions for activities comprising:

via an automated story generator that comprises a special purpose processor, automatically;

accessing a plurality of crowd-sourced assertions from one or more predetermined databases, each of the one or more predetermined databases served by one or more predetermined physical servers;

assigning a rank to each crowd-sourced assertion from the plurality of crowd-sourced assertions to form a ranked plurality of crowd-sourced assertions, each rank a reflection of a probabilistically-determined level of interest in the corresponding crowd-sourced assertion;

selecting a portion of the ranked plurality of crowd-sourced assertions, each crowd-sourced assertion in the portion having a rank that fulfills a predetermined ranking criteria;

from the portion of the ranked plurality of crowd-sourced assertions, generating a first machine-generated passage that demonstrates the one or more predetermined story elements, the first machine-generated passage comprising a first randomly-selected phrase from a first list of pre-determined phrases, the first machine-generated passage comprising one or more personal assertions that are directly related to a predetermined individual;

from the portion of the ranked plurality of crowd-sourced assertions, generating a second machine-generated passage that demonstrates the one or more predetermined story elements, the second machine-generated passage comprising a second randomly-selected phrase from a second list of pre-determined phrases, the second machine-generated passage comprising one or more general assertions that affect the predetermined individual and a plurality of people who are not in the family of the predetermined individual;

combining the first machine-generated passage, the second machine-generated passage, and one or more other machine-generated passages in a predetermined order to form a first story, each of the machine-generated passages of the first story perceivable by a human for each assertion that machine-generated passage comprises; and

storing the first story in a second machine-readable medium that comprises a second physical structure.