Military Embedded Systems

Artificial intelligence & machine learning techniques to be explored in DARPA Causal Exploration program


December 06, 2017

Mariana Iriarte

Technology Editor

Military Embedded Systems

CAMBRIDGE, Mass. Defense Advanced Research Projects Agency (DARPA) officials tapped Raytheon BBN Technologies - a wholly owned subsidiary of Raytheon Co. - to explore artificial intelligence and machine learning techniques to develop tools that may enable military planners to understand how cultural and other factors combine to cause conflicts. The work Agency's Causal Exploration of Complex Operational Environments program.

Raytheon BBN aims to use its machine reading system – a computer system that reads prose and converts it to language understandable by artificial intelligence – to analyze the causal factors behind events and the relationships between them. These factors and relationships will be represented in semantic graphs, providing information in ways that both people and computers can understand. This, in conjunction with other modeling and visualization tools, may provide military planners a clear view of the potential repercussions of various courses of action.

"Using artificial intelligence, we can potentially understand what causes conflict," says David Lintz, vice president, Raytheon BBN Technologies. "When military planners understand the root causes, they may be better able to recommend the best course of action for any given situation."

Read more on machine learning:

The role of machine learning in autonomous spectrum sharing

Cognitive electronic warfare: Countering threats posed by adaptive radars

Performance analysis tools developed for IARPA's insider threat program


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