Navigating the Search Space: A Guide from BFS to Deep Learning

The article reviews two research papers sharing a common theme of efficiently navigating search spaces. The first compares BFS, DFS, and A* on the 8-puzzle, concluding that A* with Manhattan Distance heuristic vastly outperforms blind search methods. The second surveys the evolution of solving Constraint Satisfaction Problems, from basic backtracking through inference-based pruning to modern deep learning approaches such as Graph Neural Networks and Reinforcement Learning.