Machine Reasoning for Effects-Based Operations: A Generic Architecture for Multi-Domain Workarounds Reasoning

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F30602-02-C-0074
Agency Tracking Number: 021IF-0918
Amount: $99,090.00
Phase: Phase I
Program: SBIR
Awards Year: 2002
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
50 Mall Road, Burlington, MA, 01803
DUNS: 094841665
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Daniel Hunter
 Lead Engineer
 (781) 273-3388
Business Contact
 Andrew Mullin
Title: Gen. Cnsl. & Dir. of Cont
Phone: (781) 273-3388
Research Institution
"Effects-based operations must determine how the enemy might respond to air strikes. Current approaches to predicting enemy response to target damage suffer from serious limitations: they typically do not consider how the enemy might repair or modify thestructure of a target system, they typically reason only about a single type of target system, they cannot adequately represent delayed effects, concurrent actions, and uncertainty, and their models are difficult for analysts to construct and maintain.To address these deficiencies, we propose to develop innovative machine reasoning technology to predict enemy workarounds in target systems that are well modeled as networks. We exploit emerging knowledge acquisition technology to enable analysts toreadily build and maintain models of target systems and associated workarounds procedures. We also develop technology to automatically compile these models into a form amenable to efficient reasoning. Finally, we develop efficient algorithms to computeworkaround options and to predict enemy allocation of workaround resources.Phase I develops a suitable machine reasoning architecture and algorithms, and implements a prototype to validate the approach. Phase II scales this prototype to more target systems, demonstrates the benefits of analyzing multiple target systemssimultaneously, and extends the approach to accommodate uncertainty. The technology developed under this program will be of im

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

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