Conway's Game of Life: Colony Simulation

This project is a dedicated exploration of cellular automata through Conway's Game of Life. Developed in C++, the primary goal was to create a robust engine capable of simulating thousands of generations for vast colonies of cells, observing how simple local rules lead to complex global behaviors.

Core Simulation Features:

• Algorithmic Modeling: Precise implementation of the four classic rules (survival, overpopulation, underpopulation, and reproduction) to model the life cycle of digital organisms.
• Pattern Cataloging: Support for various well-known structures, including 'Still Lifes' (block, beehive), 'Oscillators' (blinker, toad), and 'Spaceships' (gliders).
• Advanced Constructs: Successful simulation of complex engines like the Gosper Glider Gun and Puffer Trains, which demonstrate the ability of the system to produce infinite growth.
• Infinite World Concepts: Exploration of different grid topologies, including toroidal (wrapping) maps to simulate unbounded space.

Significance

The project served as a deep dive into algorithmic efficiency and the study of emergent complexity, where unpredictable and beautiful patterns arise from a purely deterministic system.