SIIP: A Situation Analysis Prototype using Case-based Reasoning and Learning

Alexandre Bergeron-Guyard and Luc Lamontagne


Case-based Reasoning, Machine Learning, Knowledge Representation, Situation Analysis, User Feedbacks, Self-Adaptive System


This paper describes a prototype that supports the execution of the Intelligence Preparation of the Operational Environment (IPOE). The IPOE is a complex process that involves taking into account information from multiple sources and applying complex cognitive processes in order to describe a situation, identify potential threats, and determine threats' courses of action. This paper presents the developed prototype, its reasoning processes, and the learning mechanisms used to improve the case-based reasoning. Avenues to boot-strap the creation of a case-base are also discussed.

Important Links:

Go Back