An Agent-Based Component Architecture for Cognitive Decision Support

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15QKN-05-C-1195
Agency Tracking Number: A043-011-1450
Amount: $70,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2004
Solicitation Topic Code: A04-011
Solicitation Number: 2004.3
Small Business Information
INTELLIGENT AUTOMATION, INC.
15400 Calhoun Drive, Suite 400, Rockville, MD, 20855
DUNS: 161911532
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Wilbur Peng
 Senior Research Scientist
 (301) 294-5255
 wpeng@i-a-i.com
Business Contact
 Mark James
Title: Contract Manager
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
N/A
Abstract
In this SBIR Phase I effort, we propose an architectural framework and design methodology for cognitive decision aids based on software agents which addresses the fundamental challenge of creating agile decision support systems that can be rapidly adapted for evolving system configurations and requirements. The basis of this approach is an agent-based component model and a library of formally defined protocols and roles that describe the interactions between cognitive decision components. During system execution, each component is instantiated as a software agent with specified execution properties. The system components include bounded-time reasoning and planning components, sensor fusion components, and human interface components. The approach will support flexible composition of decision aid systems using reusable cognitive components. We will further demonstrate how an integrated software development tool-chain can be used to enable rapid design, testing and realization of different system configurations. The approach will be illustrated using in a prototype component model, architecture specification and decision-aid use case using in a networked fires application. In this Phase I effort, we will focus on formulation the overall methodology and architecture for creating agile, adaptable decision aid components and systems.

* information listed above is at the time of submission.

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