You are here

Computer Architectures for Understanding

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-05-C-0126
Agency Tracking Number: F051-109-3403
Amount: $99,955.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF05-109
Solicitation Number: 2005.1
Timeline
Solicitation Year: 2005
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-04-11
Award End Date (Contract End Date): 2006-01-11
Small Business Information
6022 Constitution Avenue NE
Albuquerque, NM 87110
United States
DUNS: 094142122
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Carl Stern
 Senior Research Scientist
 (505) 255-8611
 carl_stern@mgtsciences.com
Business Contact
 Marlene Blemel
Title: President
Phone: (505) 255-8611
Email: kay_blemel@mgtsciences.com
Research Institution
N/A
Abstract

We describe a new Bayesian architecture for knowledge-based information exploitation and situation assessment, the Cognitive Bayesian INformation EXploitation (CBNX) architecture. CBNX provides mechanisms for the effective transformation of data into information and the dynamic integration of information into higher level cognitive structures supporting situation assessment and dynamic decision making. CBNX combines three distinct forms of knowledge representation. At the top level, schemas encode cognitive "design patterns", i.e., patterns for the large scale organization and interpretation of information. Domain knowledge is encoded at the middle level into a version of first order probabilistic logic with recursion called Loopy Logic. Finally, this time-independent domain knowledge is dynamically compiled into Situation Specific Bayesian Models at the bottom level. CBNX builds on recent work in frame-based probabilistic models, probabilistic relational models, and probabilistic logic, but extends it with new schema-based meta-representations and algorithms. This architecture provides a powerful set of mechanisms for aggregating data and information into interpretive frames, filtering out data that is contextually irrelevant, and illuminating the potential significance of the relevant information in context. It also allows the opportunity for dynamic data management and dynamically configured displays that clearly exhibit the relationship of new information to situation or threat components.

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

US Flag An Official Website of the United States Government