CS7032: AI & Agents: Ms Pac-Man vs Ghost League - AI controller project

This report discusses various approaches to implementing an AI for the Ms Pac-Man vs Ghosts league. It implements a purelyreactive subsumption based agent to control Ms Pac-Man which consists of three modules : evade, hunt and gather which are arranged by priority. The behaviour of the agent can be adjusted by altering its hunt distance and evade distance parameters to determine when to chase, evade or ignore ghosts. The performance of the agent was evaluated across a range of parameter values for 100 trials at each point and its ideal average score was found to be at around : hunt distance = 75 and evade distance = 5. The results of the report suggest that a risk taking strategy is good for a reactive agent although alternative methods such as reinforcement learning or finite state machines may be better.