Artificial Intelligence Could Help Spot Hidden Bombs


Categorie: Afghanistan, Bombs, David Axe, Research, Training |

Staff Sgt. Ashley Hess, 2nd Platoon, Able Troop, 3rd Squadron, 71st Cavalry interviews farmer, Logar, Oct. 14, 2009.


“Let’s go get blown up,” said Staff Sergeant Ashley Hess, platoon sergeant for 2nd Platoon, Able Troop, 3rd Squadron, 71st Cavalry. Hess, pictured at center, climbed into the cab of his Mine-Resistant Ambush-Protected armored truck with his driver and two cavalry troopers. It was October 16 in Baraki Barak, a district of Afghanistan south of Kabul. Hess and his platoon would be driving down a dirt road codenamed “Route New York,” on a mission to survey some local farmers.

Route New York is notoriously dangerous. Trees on both sides hide insurgent activity. Deep culverts make perfect hiding places for roadside bombs. The dirt road itself is soft enough that insurgents can bury bombs directly in the paths of American vehicles. For Able Troop, it’s not a matter of whether they will be blown up on Route New York — it’s a matter of exactly when and where.

One group of researchers is trying to take some of the surprise out of Improvised Explosive Devices. Paulo Shakarian, a computer science Ph.D. student, and Professor V.S. Subrahmanian — both of the University of Maryland — along with their colleague Maria-Luisa Sapino of the University of Turin in Italy, have developed software that they say can predict the locations of hidden caches of explosives, by combining on-the-ground intelligence data with computer models that mimic group behavior. In other words, a computer that thinks like an insurgent bomber.

The “Spatio-Cultural Abductive Reasoning Engine” software, “SCARE” for short, uses what’s called “abductive logic,” as opposed to the more widely-known “deductive” type. Deductive reasoning starts with related facts and projects to the next, certain fact. Abductive reasoning is more like a “hunch” that might explain otherwise random data. In writing software that can use abductive reasoning, Shakarian, Subrahmanian and Sapino have, in essence, created an Artificial Intelligence with a degree of intuition.

“The SCARE software is not a stand-alone tool,” Subrahmanian warned. “Military commanders and intelligence analysts would use SCARE in conjunction with their own experience and knowledge of a region, and together with available intelligence to pinpoint likely cache locations.”

According to a University of Maryland press release, the researchers tested SCARE by telling the program to predict where insurgents might stash their bombs in Baghdad for the next 21 months. They compared the software’s predictions to public data on actual bomb-cache discoveries in Baghdad for a past 21-month period, and found that the computer was usually within half a mile of pinpointing a cache.

Read the rest at

(Photo: David Axe)

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3 Responses to “ Artificial Intelligence Could Help Spot Hidden Bombs”

  1. David M says:

    The Thunder Run has linked to this post in the blog post From the Front: 12/11/2009 News and Personal dispatches from the front and the home front.

  2. [...] Actually, robots can have imaginations and make choices, too, if they are equipped with abductive-reasoning software that can create guess-work models to explain seemingly random phenomena. Robots that can make intuitive leaps and conceptualize subtle causal relationships are distinguishable from thinking, feeling people only in the degree of their moral capacity. Mix in the ability to self-replicate and communicate with — and learn from — other machines, and you’ve crafted the first artificial humanity. [...]

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