Master of Science / Department of Computing and Information Sciences / David A. Gustafson / IEDs are a prevailing threat to today’s armed forces and civilians. With some IEDs being
well concealed and planted sometimes days or weeks prior to detonation, it is extremely difficult
to detect their presence. Remotely triggered IEDs do offer an indirect method of detection as an
insurgent must monitor the IED’s kill zone and detonate the device once the intended target is in
range. Within the safe confines of a video game we can model the behavior of an insurgent
using remotely triggered IEDs. Specifically, we can build a model of the sequence of actions an
insurgent goes through immediately prior to detonating an IED. Using this insurgent model, we
can recognize the behavior an insurgent would exhibit before detonating an IED. Once the
danger level reaches a certain threshold, we can then react by changing our original course to a
new one that does not cross the area we believe an IED to be in. We can show proof of concept
of this by having human players take on the role of an insurgent in an online video game in
which they try to destroy an autonomous agent. Successful tactics used by the autonomous
agent should then be good tactics in the real world as well.
| Identifer | oai:union.ndltd.org:KSU/oai:krex.k-state.edu:2097/4112 |
| Date | January 1900 |
| Creators | Rogers-Ostema, Patrick J. |
| Publisher | Kansas State University |
| Source Sets | K-State Research Exchange |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
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