Automatically Guiding Interviews By Commonsense Abductive Principles

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,623.00
Award Year:
2008
Program:
SBIR
Phase:
Phase I
Contract:
W15P7T-08-C-M007
Award Id:
87035
Agency Tracking Number:
A072-116-2499
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1275 Kinnear Road, Columbus, OH, 43212
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
158053434
Principal Investigator:
JohnJosephson
President
(614) 340-1835
john.josephson@aetion.com
Business Contact:
JohnJosephson
President
(614) 340-1835
john.josephson@aetion.com
Research Institute:
n/a
Abstract
Significant challenges exist related to smartly interviewing multiple people to assess eyewitness accounts and judge how truthful a source is. Aetion proposes applying a powerful form of inference called abduction to help intelligently interview multiple people and compare their corresponding answers to judge the reliability of a source. Abductive inference, or "inference to best explanation," has been intensely researched over the past twenty years. Aetion has successfully applied this approach to complex, real-world problems. Because abduction allows a high degree of abstraction, incongruous data is easily fused and intelligently analyzed. An abduction machine (software implementing an abductive inference approach) has the ability to assess the the truthfulness of a source, find potential relationships among sources, determine what statements need to be verified, and provide display support for the user.

* information listed above is at the time of submission.

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