Description

This project is an advanced Artificial Intelligence simulation that has multiple species of animals interacting in a procedurally-generated environment. The traits of these animals can be configured by the player such that they can see the effects of various decisions such as size, fur color, speed, among other traits. Once the simulation begins, players will be able to watch as the ecosystem survives, thrives, or dies due to the choices in species design. In combination, the project will feature a data-output system that can be used to derive important points in the lifecycle of the ecosystem during the simulation.

Lastly, the project will be accompanied by a host of SWE best practices such as Static Code Analysis, Linting, native Testing systems, Code Coverage, and a end-to-end Continuous Integration and Delivery pipeline structure off of Github Actions custom written for this project.

Key Features:

• Fully intelligent AI animals
• Procedurally generated environment
• Customizable species traits
• Immersive camera view of animals as they go about their life

Project Team

• John Murwin
• Jonathan Gamble
• Brett Cohen
• Aaron Podovich

Built With

• Unity3D
• Github
• GitKraken
• SonarCloud
• CodeCov
• GameCI
• Jira

Github Link

https://github.com/JohnMurwin/NaturalSelectionSimulation