Date Created: 30 July 2021

No. of people involved: Only me

Length of project: 4 weeks

Tools: SDL2, C++

This project was for an Artificial Intelligence assignment at AIE. We were given the task to create a simulation that displays evidence of pathfinding and behavioral changes using AI strategies such as state machines. My initial plan was to build a forest which would consist of plants (food), rabbits (herbivores) and foxes (predators). The rabbits would eat the plants and the foxes would eat the rabbits. I ended up ditching this idea, and decided to create a body of water where fish would swim around, displaying flocking behaviours.

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In the current version of the simulation, there are fish swimming around casually wandering (using flocking behaviours such as separation, alignment and cohesion), though when they come close to a rock, they avoid it using steering behaviours. Using a state machine, they randomly decide they are hungry and search for food (coral). Using the A-Star pathfinding algorithm, they find a path to a random food source. In the meantime, there is a predator who also uses a state machine to randomly decide he is hungry, which it then chases a random fish until it is caught.