A Cognitive Architecture for Naval Mine Countermeasures (MCM)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-12-M-0188
Agency Tracking Number: N121-082-0266
Amount: $149,858.00
Phase: Phase I
Program: SBIR
Awards Year: 2012
Solicitation Year: 2012
Solicitation Topic Code: N121-082
Solicitation Number: 2012.1
Small Business Information
3600 Green Court, Suite 600, Ann Arbor, MI, -
DUNS: 009485124
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Robert Marinier
 Research Scientist
 (734) 887-7615
 bob.marinier@soartech.com
Business Contact
 Andrew Dallas
Title: Vice President
Phone: (734) 887-7603
Email: contracts@soartech.com
Research Institution
 Stub
Abstract
Current Mine Countermeasure (MCM) operations attempt to balance risk to commander"s intent and time via processes that are staff and time intensive. Existing tools such as MEDAL have helped to alleviate some of this, but those tools lack an comprehensive understanding of the uncertainties involved, and how those impact commander"s intent. Furthermore, existing tools are mostly passive, representing data, but not interpreting it, leaving issues of situation detection, assessment, and responding entirely up to the staff. An ideal tool would be a decision aid that works with users and existing tools to perform situation detection, assessment, and response. Such a tool would need to understand commander"s intent and the uncertainties inherent in MCM-relevant situations, apply expert MCM knowledge in understanding situations, relating intent and situations, and generating appropriate recommendations. Furthermore, such a tool needs to build trust with users by explaining how it arrived at those conclusions, including making the uncertainties involved clear. Recent years have seen increased development of cognitive architectures, which are ideal platforms for encoding expert knowledge and interacting with users. SoarTech proposes to leverage prior work in situation detection, assessment, response, and explanation. It will extend this work for the MCM domain, uncertainty, and user interaction.

* Information listed above is at the time of submission. *

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