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AIMSMART: Adaptive, Interactive MDA Semantic Model-based Articulation of…

Award Information

Agency:
Department of Defense 		Branch:
Missile Defense Agency 		Award ID:
 Program Year/Program:
2012 / STTR
Agency Tracking Number:
B11B-003-0003 		Solicitation Year:
2011 		Solicitation Topic Code:
MDA11-T003 		Solicitation Number:
2011.B
Small Business Information
CYCORP, INC.
7718 Wood Hollow Drive Suite 250 Austin, TX 78731-1601
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: AIMSMART: Adaptive, Interactive MDA Semantic Model-based Articulation of Required Technology for M&S
Agency / Branch: DOD / MDA
Contract: HQ0147-12-C-7081
Award Amount: $99,956.00
 

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.)

Principal Investigator:

Douglas B. Lenat
CEO
(512) 342-4001
Lenat@CYC.com

Business Contact:

Mary Shepherd
VP, Administration
(512) 342-4002
Mary@CYC.com
Small Business Information at Submission:

Cycorp, Inc.
7718 Wood Hollow Drive Suite 250 Austin, TX 78731-1601

EIN/Tax ID: 742727547
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
George Mason University
C4I Center, MSN: 4B5
4709 Nguyen Engineering Bldg
Fairfax, VA 22030-
Contact: Tod S. Levitt
Contact Phone: (703) 993-2170