Patrick J Talbot

US Patent:

7606784, Oct 20, 2009

Filed:

Aug 2, 2005

Appl. No.:

11/196647

Inventors:

Keith Eugene Mathias - Parker CO, US
Mark Robert Nixon - Topanga CA, US
Patrick James Talbot - Colorado Springs CO, US

Assignee:

Northrop Grumman Corporation - Los Angeles CA

International Classification:

G06N 7/02
G06N 7/06

US Classification:

706 52, 703 2, 702 20

Abstract:

Systems and methods are provided for constructing and evaluating a story of interest. The system includes a plurality of decision algorithms. Each decision algorithm is operative to quantify at least one category of uncertainty associated with the story of interest as a set of at least one uncertainty parameter. An uncertainty management component is operative to reconcile the sets of uncertainty parameters from the plurality of decision algorithms as to produce a global uncertainty parameter for each of the plurality of uncertainty categories for the story of interest.

US Patent:

7698237, Apr 13, 2010

Filed:

Feb 22, 2005

Appl. No.:

11/062508

Inventors:

Patrick J. Talbot - Colorado Springs CO, US

Assignee:

Northrop Grumman Corporation - Los Angeles CA

International Classification:

G06N 3/12

US Classification:

706 13, 706 45

Abstract:

Systems and methods are provided for generating and evaluating a plurality of courses of action (COAs) for a problem of interest having an associated set of problem characteristics. A case based reasoner generates an initial set of courses of action according to the associated problem characteristics. Each course of action includes a plurality of COA packages and a set of associated fitness parameters. A genetic algorithm refines the initial set of courses of action according to a set of global influence values to produce at least one optimized course of action. A user interface allows a user to adjust at least one value from the set of global influence values and the set of fitness parameters associated with each optimized course of action.

US Patent:

7917460, Mar 29, 2011

Filed:

Jun 30, 2004

Appl. No.:

10/881279

Inventors:

Patrick James Talbot - Colorado Springs CO, US
Dennis Regan Ellis - Colorado Springs CO, US

Assignee:

Northrop Grumman Corporation - Los Angeles CA

International Classification:

G06F 17/00
G06N 7/00
G06N 7/08

US Classification:

706 59

Abstract:

Systems and methods are provided for generating a decision network from text. An information extraction component extracts a quantum of evidence and an associated confidence value from a given text segment. An evidence classifier associates each quantum of evidence with one of a plurality of hypotheses. A fusion engine builds a decision network from the plurality of hypotheses, an associated base structure, the extracted quanta of evidence, and the confidence values.

US Patent:

8078559, Dec 13, 2011

Filed:

Jun 3, 2008

Appl. No.:

12/132367

Inventors:

Patrick James Talbot - Colorado Springs CO, US
Dennis Regan Ellis - Colorado Springs CO, US
J. Ryan Sanders - Woodland Park CO, US

Assignee:

Northrop Grumman Systems Corporation - Los Angeles CA

International Classification:

G06N 5/00

US Classification:

706 45, 706 55

Abstract:

Systems and methods are provided for determining unknown unknowns for at least one assisted decision making system. An assisted decision making system has an associated set of at least one story of interest. The system further comprises a plurality of inferencing algorithms. A given inferencing algorithm is operative to generate story fragments from data stored within an associated knowledge base. A first arbitrator is associated with the first assisted decision making system. The arbitrator accepts a story fragment from the plurality of inferencing algorithms if the story fragment is sufficiently related to a story of interest from the set of at least one story of interest.

US Patent:

8170967, May 1, 2012

Filed:

Jun 3, 2008

Appl. No.:

12/132335

Inventors:

Patrick James Talbot - Colorado Springs CO, US
Dennis Regan Ellis - Colorado Springs CO, US
Jeffrey Allen McCartney - Colorado Springs CO, US

Assignee:

Northrop Grumman Systems Corporation - Los Angeles CA

International Classification:

G06N 5/00

US Classification:

706 45, 706 55

Abstract:

Systems and methods are provided for assisted decision-making. A knowledge base comprises a plurality of executable stories. A given story comprises a belief network containing at least one associated hypothesis and evidence associated with the at least one hypothesis. The system further comprises at least one decision algorithm having respective associated input formats. A translation interface is operative to convert a given story from the knowledge base into a decision network having a format associated with the at least one decision algorithm.

US Patent:

20040019575, Jan 29, 2004

Filed:

Jul 24, 2002

Appl. No.:

10/201882

Inventors:

Patrick Talbot - Colorado Springs CO, US
Dennis Ellis - Colorado Springs CO, US

International Classification:

G06N005/02
G06F017/00
G06N005/00

US Classification:

706/046000, 706/045000

Abstract:

Systems and methods are provided for fusing new evidence and displaying node parameters of a decision network. The decision network can be a belief network, such as a Dempster-Shafer belief network. The Dempster-Shafer belief network includes node parameters that conform to the Dempster-Shafer combination rule, which is based on an evidential interval: the sum of a belief value, a disbelief value and an unknown value is equal to one. A user override is provided to allow a user to override node parameters associated with a hypothesis or outcome and the decision network self-adjusts the appropriate link values or learned to instantiate the override. The back-propagation algorithm is used to adjust the links.

US Patent:

20060112045, May 25, 2006

Filed:

Oct 5, 2004

Appl. No.:

10/958753

Inventors:

Patrick Talbot - Colorado Springs CO, US
Dennis Ellis - Colorado Springs CO, US
Jeffrey McCartney - Colorado Springs CO, US

International Classification:

G06N 5/02

US Classification:

706046000

Abstract:

Systems and methods are provided for assisted decision-making. A knowledge base comprises a plurality of executable stories. A given story comprises a belief network containing at least one associated hypothesis and evidence associated with the at least one hypothesis. The system further comprises at least one decision algorithm having respective associated input formats. A translation interface is operative to convert a given story from the knowledge base into a decision network having a format associated with the at least one decision algorithm.

US Patent:

20060112048, May 25, 2006

Filed:

Oct 29, 2004

Appl. No.:

10/977588

Inventors:

Patrick Talbot - Colorado Springs CO, US
Dennis Ellis - Colorado Springs CO, US
J. Sanders - Woodland Park CO, US

International Classification:

G06N 5/02

US Classification:

706046000

Abstract:

Systems and methods are provided for determining unknown unknowns for at least one assisted decision making system. An assisted decision making system has an associated set of at least one story of interest. The system further comprises a plurality of inferencing algorithms. A given inferencing algorithm is operative to generate story fragments from data stored within an associated knowledge base. A first arbitrator is associated with the first assisted decision making system. The arbitrator accepts a story fragment from the plurality of inferencing algorithms if the story fragment is sufficiently related to a story of interest from the set of at least one story of interest.