Automatically Guiding Interviews By Commonsense Abductive Principles

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15P7T-08-C-M007
Agency Tracking Number: A072-116-2499
Amount: $69,623.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2007
Solicitation Topic Code: A07-116
Solicitation Number: 2007.2
Small Business Information
1275 Kinnear Road, Columbus, OH, 43212
DUNS: 158053434
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 John Josephson
 President
 (614) 340-1835
 john.josephson@aetion.com
Business Contact
 John Josephson
Title: President
Phone: (614) 340-1835
Email: john.josephson@aetion.com
Research Institution
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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