It looks like you're using an Ad Blocker.
Please white-list or disable AboveTopSecret.com in your ad-blocking tool.
Some features of ATS will be disabled while you continue to use an ad-blocker.
(visit the link for the full news article)
UM scientists create technology for analysis and forecasting of terrorism
COLLEGE PARK, Md. -- Researchers at the University of Maryland’s Institute for Advanced Computer Studies (UMIACS) have developed the SOMA Terror Organization Portal (STOP) allowing analysts to query automatically learned rules on terrorist organization behavior, forecast potential behavior based on these rules, and, most importantly, to network with other analysts examining the same subjects.
SOMA (Stochastic Opponent Modeling Agents) is a formal, logical-statistical reasoning framework that uses data about past behavior of terror groups in order to learn rules about the probability of an organization, community, or person taking certain actions in different situations. In a unique collaboration between computer scientists and political scientists, SOMA has generated tens of thousands of rules about the likely behavior of each of about 30 groups (including major terrorist organizations such as Hezbollah, Hamas, and Hezb-I-Islami).