SBIR 95-1 SOLICITATION
AGENT BASED TASK DECOMPOSITION PLANNING
One of the big challenges of today's technology is to build planning and control systems that can produce high quality solutions, that can monitor the execution of those solutions, and respond to unexpected events (failures or opportunities). These systems must be also be easy to modify to adapt to the changes in the demands from the applications.
This proposal is focused on a new planning architecture that can incorporate expertise and data from a variety of sources to deliver high quality solutions. but yet be flexible enough to adapt to the changes in the demands on the system. It will support planning and execution simultaneously, recover from failures and exploit opportunities, and also support on-line job requests from multiple users. Our proposed architecture is based on autonomous agents, and it employs hierarchical task network (HTN) planning techniques for handling the interactions and resolving the conflicts among the agents. Our architecture will combine the advantages of both domain-specific and domain-independent planning by capturing specialized expertise in the agents but keeping the architecture domain-independent to facilitate implementation and incremental modification to adapt to the changing conditions.
Potential Commercial Applications:
Our proposed architecture has direct applications in the mission control, factory automation and military logistics by reducing planning time and effort, increasing the quality of plans and reducing the execution cost.
Name and Address of Offeror:
Intelligent Automation, Incorporated
2 Research Place, Suite 202
Rockville, MD 20850
Small Business Innovation Research Program (SBIR) &
Small Business Technology Transfer Program (STTR) Programs
Electronic Management System (EMS)
National Aeronautics and Space Administration (NASA)
The SBIR/STTR EMS site is maintained by Steve
Hu, Hughes STX.
For comments and questions, contact
Updated: Feb. 7, 1996