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

Period of Performance: 04/20/2012 - 10/19/2012

$100K

Phase 1 STTR

Recipient Firm

Cycorp, Inc.
7718 Wood Hollow Drive Suite 250
Austin, TX 78731
Principal Investigator
Firm POC

Research Institution

George Mason University
4400 University Drive MS 4C6
Fairfax, VA 22030
Institution POC

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.)