Detection and recognition of crisis using Markov models and Case-based reasoning

This project pertains to the modeling, detection and monitoring of crises in geopolitical

dynamiC environments. As risks are inherent to crises, we need tools to cope with the

uncertainty factors involved in these situations. The objective of this project is to conduct

research activities to support the understanding of crisis situations and to model their

potential evolution. Our main goal is to explore how to find patterns from episodes of

conflicts that can be reused as templates by human operators in th~ir analysis process.

The technologies targeted for this project are Markov models and Case-Based reasoning

. (CBR). Markov models are efficient tools for modeling sequences of events as they

capture the uncertainty inherent to a process. Various extensions, such as Hidden Markov

models (HMM), are available for modeling complex stochastic processes with partial

information. CBR is a framework, originating from artificial intelligence, which can be used

to find similarities in situations and to help in the interpretation~ of these situations….

Faculty Supervisor:

Luc Lamontagne

Student:

Partner:

OODA Technologies Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Current openings

Find the perfect opportunity to put your academic skills and knowledge into practice!

Government

International

Load More

International

Load More