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

Alexandre Bergeron-Guyard and Luc Lamontagne

Keywords

Casebased Reasoning, Machine Learning, Knowledge Representation, Situation Analysis, User Feedbacks, SelfAdaptive System

Abstract

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.

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