Ant AI Simulation

An AI techniques project which explored finite state machines and expert/rule-based systems to create a simulation/behaviour for ants.

The ants have a few different behaviours: wandering, drinking, eating, bringing food to their queen and fleeing.

The ant's behaviour was determined by evaluating their current situation - hunger, thirst and danger from a predator ant.

The rule-based system implementation used an arbiter and a database to fire an action wheras the finite state machine jumped between states depending on their surroundings.

The video below shows the finite state machine simulation in the first portion, and the rule-based after.

Github Source

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