Comparative Analysis of AI Models in Solving 3x3x3 and Higher-Order Rubik’s Cubes

Artificial Intelligence has revolutionized the way machines approach complex problem-solving.One intriguing application lies in solving combinatorial puzzles like the Rubik's Cube, which serve as benchmarks for algorithmic efficiency and cognitive modelling.This paper aims to show the comparative analysis of AI models in how they approach difference Rubik's Cube puzzles (3x3x3, 4x4x4 and 5x5x5).The findings provide insights into the design of more adaptive, scalable solvers for high-dimensional discrete environments, contributing to the broader field of AI planning and decision-making.