Autognomic decision making system and method

• US 6,505,184 B1
• Filed: 07/30/1999
• Issued: 01/07/2003
• Est. Priority Date: 07/30/1999
• Status: Expired due to Term

• Current Assignee: Unisys Corporation
• Original Assignee: AutoGnomics Corp., Unisys Corporation
• Inventors: Reed, Frederick W., Parker, Charles Austin
• Primary Examiner(s): Black, Thomas
• Assistant Examiner(s): Holmes, Michael B.
• Application Number:
  US09/364,191
• Time in Patent Office: 1,257 Days
• Field of Search: 706/47, 706/45, 706/46, 712/223
• US Class Current: 706/47
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/045 Explanation of inference; Explainable artificial intelligence [XAI]; Interpretable artificial intelligence

Abstract

A sensor module is for use in a semiotic processing system. The sensing module receives data in a pre-specified format. It identifies sequential elemental symbols in the received data. First order sets of identified sequential element symbols are defined such that no first order set has more than a maximum number of sequential elemental symbols. Second order sets of sequential first order sets are defined such that no second order set has more than a maximum number N of sequential first order sets.

Claims

1. A sensor module for a semiotic processing system comprising:

means for receiving data in a prespecified format;

means for identifying sequential elemental symbols in said received data;

means for defining first order sets of identified sequential element symbols such that no first order set has more than a maximum number M of sequential element symbols; and

means for defining second order sets of sequential first order sets such that no second order set has more than a maximum number N of sequential first order sets.

2. A sensor module according to claim 1 wherein said means for defining first order sets includes means for identifying first order delimiters in said received data and wherein said means for defining second order sets includes means for identifying second order delimeters in said received data.

3. A sensor module according to claim 2 wherein said received data is alphanumeric text;

alphanumeric symbols are identified as element symbols;

spaces and punctuation are identified as first order delimeters;

end sentence punctuation symbols are identified as second order delimeters; and

M and N both equal 20.

4. A sensor module according to claim 1 wherein M is set in a range of 2-40 and N is set in a range of 2-30.

5. A method of sensing data for semiotic processing comprising:

receiving data in a prespecified format;

identifying sequential elemental symbols in said receiving data;

defining first order sets of identified sequential element symbols such that no first order set has more than a maximum number M of sequential element symbols; and

defining second order sets of sequential first order sets such that no second order set has more than a maximum number N of sequential first order sets.

6. A method of sensing data according to claim 5 wherein said defining, first order sets includes identifying first order delimiters in said received data;

and wherein said defining second order sets includes identifying second order delimeters in said received data.

7. A method of sensing data according to claim 5 wherein said received data is alphanumeric text;

alphanumeric symbols are identified as element symbols;

spaces and punctuation as identified as first order delimeters;

end sentence punctuation symbols are identified as second order delimeters; and

M and N both equal 20.

8. A method of sensing data according to claim 5 wherein M is set in a range of 2-40 and N is set in a range of 2-30.