Markers let the agent remember objects that it deems important when they are no longer visible. Current implementations assume that these objects are static relative to the agent. This project removes that assumption. To demonstrate this new use of markers, a predator-prey simulation was developed. In this simulation, the predator uses markers to mark the predicted location of its prey, so that it may catch them.
New issues arise when dealing with moving objects.
The agent must spend a non-trivial amount of time watching the object of interest to estimate its velocity. Because the object's velocity may change, the agent must periodically check the object's location to accurately predict its future location. Accurate dead reckoning becomes vitally important for correct tracking and interception. Mr. Gion has a BS in Computer Science from University of Delaware, and an MS in Computer Science from University of Virginia.