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AIMSMART: Adaptive, Interactive MDA Semantic Model-based Articulation of Required Technology for M&S

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-12-C-7081
Agency Tracking Number: B11B-003-0003
Amount: $99,956.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: MDA11-T003
Solicitation Number: 2011.B
Timeline
Solicitation Year: 2011
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-04-20
Award End Date (Contract End Date): N/A
Small Business Information
7718 Wood Hollow Drive Suite 250
Austin, TX 78731-1601
United States
DUNS: 883906273
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Douglas Lenat
 CEO
 (512) 342-4001
 Lenat@CYC.com
Business Contact
 Mary Shepherd
Title: VP, Administration
Phone: (512) 342-4002
Email: Mary@CYC.com
Research Institution
 George Mason University
 Tod S Levitt
 
C4I Center, MSN: 4B5 4709 Nguyen Engineering Bldg
Fairfax, VA 22030-
United States

 (703) 993-2170
 Nonprofit College or University
Abstract

The process of an MDA stakeholder specifying a needed modeling and simulation system has many problems: they may be ambiguous, overly specific, overly general, contradictory, etc. Symbolic knowledge-based representation and reasoning systems have matured to the point where they can ameliorate this. E.g., an extension of Cyc can help a Marines ISR-E requirements officer prepare a JCIDS CDD needs document spec"ing a complex future system. We propose an analogous application of Cyc here. Part of Phase I will involve eliciting the needed decision rules and heuristics in the MDA M & S domain, and, along the way, augmenting the system"s ontology and English lexicon. What makes this R & D is that, unlike the JCIDS task, there is less preexisting structure in this domain, so part of Phase I will involve Cycorp eliciting the knowledge from GMU (and, where there are still gaps, the two of them eliciting it from MDA) to create in effect a detailed instruction manual (which, incidentally, might be of use to the humans learning to do this task, not just to our Cyc-based automated assistant.)

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

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