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CMSC 471.3 Artificial Intelligence Project 2 Due: 13-APR-2020 20 points Resilient Swarming Boids rule is a widely-used technique for simulating collective motion. Based on spatial proximity, agents will either repulse, attract, and/or align their headings. But agents are susceptible to their swarming neighbors, and this project includes a compromised agent hiding in the swarm, perfectly implementing Boids rule. The first objective of this project is to implement a repulsion, orientation, attraction rule to mimic swarming. Agents have an estimate of a parameter (temp, pressure) and they apply the consensus protocol to update their own estimates. One of the agents in your swarm is maliciously broadcasting a bad estimate. But UMBC is renowned for cybersecurity, so the second objective of this project is to mitigate the influence of the compromised agent. Note that your swarm has no idea which agent has been compromised.
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