Accession Number : AD1004313


Title :   Self-improving Inference System to Support the Intelligence Preparation of the Battlefield: Requirements, State of the Art, and Prototypes


Descriptive Note : Technical Report


Corporate Author : Defence Research and Development Canada - Valcartier Research Centre Quebec, Quebec Canada


Personal Author(s) : Guyard,A B


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1004313.pdf


Report Date : 01 Dec 2014


Pagination or Media Count : 96


Abstract : This report presents the results of a research project about the application of automated reasoning and machine learning approaches to support the Intelligence Preparation of the Battlefield/Operational Environment (IPB/IPOE) process. Analysts conducting IPB/IPOE are faced with information and cognitive overload problems. The research initiative described in this report intends on supporting IPB/IPOE analysts with Self-Improving Inference Systems (SIIS). To achieve this goal, literature and technological surveys as well as expert interviews and workshops were conducted. A functional decomposition of IPOE was also performed. Following the results from these tasks, two prototype systems were developed in order to support analysts performing IPB/IPOE.


Descriptors :   REASONING , LEARNING MACHINES , MILITARY INTELLIGENCE , PROTOTYPES , OPERATIONAL READINESS , ANALYSTS


Distribution Statement : APPROVED FOR PUBLIC RELEASE