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Model Neutral Data Representation Using the Theory of Corobs

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: N/A
Agency Tracking Number: 32464
Amount: $98,843.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1996
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
8760-a Research Blvd., Suite 552
Austin, TX 78758
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 P. Nick Lawrence
 (406) 333-4453
Business Contact
Phone: () -
Research Institution
N/A
Abstract

We propose to demonstrate a powerful, general approach, the Theory of Corobs, to address DARPA's identified need for canonical data structure and access mechanisms to support model interoperability. The technology we will produce under this contract will enable the construction of robust data warehousing supporting a wide range of "looks" of the data to the outside world, true generic knowledge bases. The Theory of Corobs is based on mathematical object known as a "corob," a strong candidate for the primary information processing token in living neural systems. The mathematics of corobs is rich and deep. We will demonstrate the relevant properties of corobs and show how to use them to implement model neutral data representations. We will build two models, a discrete event simulation and a Petri-net simulation and demonstrate that our corob system supports both, applying appropriate metrics. In Phase II, we will expand this work in cooperation with the OPR to develop tools that capture this technology for DARPA purposes and wider commercialization.

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

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