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Decision Aiding Through Bayesian Inference and Quasi-Axiomatic Theorem…

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
41480
Program Year/Program:
1998 / SBIR
Agency Tracking Number:
41480
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Daniel H. Wagner, Associates, Incorporat
559 West Uwchlan Avenue Suite 140 Exton, PA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1998
Title: Decision Aiding Through Bayesian Inference and Quasi-Axiomatic Theorem (Innovative Decision Aid)
Agency / Branch: DOD / ARMY
Contract: N/A
Award Amount: $99,947.00
 

Abstract:

This proposed research draws on classical Bayesian Inference combined with powerful new tools called Quasi-Axiomatic Theorem (QAT) to provide a comprehensive and adaptive situation analysis decision aid. The Bayesian Inference component provides automatic assessment of hypotheses based on the continuous arrival of positive (contact) and negative (search) information. The QAT component provides the adaptive mechanism by which new hypotheses can be formed in the presence of conflicting or seemingly erroneous data. A graphical user interface allows the operator to interact with the adaptive algorithms to create and assess hypotheses. BENEFITS: An adaptive system of algorithms promises to improve situation assessment and reduce confusion in the demanding, time~ritical environment of.the battlefield. These results can also be applied to police surveillance, counternarcotics and industrial intelligence analysis.

Principal Investigator:

Dr. Joseph H. Discenza
7577277700

Business Contact:


0
Small Business Information at Submission:

DANIEL H. WAGNER ASSOC., INC.
40 Lloyd Avenue, Suite 200 Malvern, PA 19355

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No