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A Knowledge-Based Adaptable Modeling and Simulation Visualization Environment

Award Information

Department of Defense
Award ID:
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
6 New England Executive Park Burlington, MA 01803
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2002
Title: A Knowledge-Based Adaptable Modeling and Simulation Visualization Environment
Agency / Branch: DOD / NAVY
Contract: N00178-02-C-3064
Award Amount: $70,000.00


"Effective use of models and simulations (M&S) requires the visualization of model-related information at three stages-model construction, model manipulation, and model analysis. M&S applications do not always have a native visualization environment, buteven when they do, the environment rarely permits visualization at all three stages of M&S use. An adaptable visualization environment that could be tailored to function for specialized M&S applications would be a powerful tool to unify an organization'sanalysis and reporting efforts. Realizing this environment requires advanced data abstraction, a formalism for generating visual transforms based on context, general-purpose analysis aids, and a methodology for tailoring M&S input and output.This proposal explores the innovative use of knowledge-based technologies from artificial intelligence to represent M&S data in a domain-independent way. The knowledge-based approach permits users to view and navigate M&S data while treating the M&Sapplication as a "black box". Our visualization environment employs a relational algebra formalism to query the knowledge-base, a mathematical analysis toolbox for understanding causal connections, and data wizards to help analysts who are not knowledgeengineers tailor an M&S application to the environment. The technology developed under this program will immediately benefit organizations seeking to unify their M&S analysis and reporting efforts. Ex

Principal Investigator:

Steven Jilcott
Sr. Memb. of Tech. Stf.

Business Contact:

Andrew S. Mullin
Gen. Cnsl. & Dir. of Cont
Small Business Information at Submission:

Alphatech, Inc.
50 Mall Road Burlington, MA 01803

EIN/Tax ID: 042654515
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No