Logistics Agent-based Algorithm Test-bed (LAAT)

In this proposal, Sentar Inc. presents plans for a Logistics Agent-based Algorithm Test-bed (LAAT). LAAT will address problems associated with FCS logistics by utilizing state-of-the-technology software agents to support rapid prototyping, implementation, integration, and testing of logistics assessment algorithms. This novel concept is to feed FCS network centric health and usage monitoring information into the LAAT environment for use by LAAT developed logistics algorithms to validate and facilitate logistics actions. The LAAT environment is comprised of special-purpose logistics and agent-based software tools.  Sentar's KnoWebr tool to create the logistics algorithm environment titled, KALAE (KnoWebr Agent-based Logistics Algorithm Environment).  SPARTA's LogMAIT tool to take logistics action based on the results from KALAE. LAAT will provide realistic evaluation of these algorithms and ensure their utility within the FCS/Logistics Decision Support System (LDSS) environment. LAAT will utilize existing tools including software agent-based dynamic distributed problem solving, logistics management tool and the early SOSCOE capabilities (if available) to replicate key parts of the FCS environment and evaluate proposed algorithms. To ensure success, Sentar has formed a team of engineers and scientists from Sentar and their partner, SPARTA, to provide key technical skills and operational experience. Sentar delivers experts in agent-based software technology and logistics while SPARTA delivers in depth logistics expertise and working knowledge of the FCS program components. Working together, this team will develop the LAAT concept and design.