Entropy and Jigsaw Puzzle Solving: A Framework for Understanding Problem-Solving Strategies
Entropy and Jigsaw Puzzle Solving: A Framework for Understanding Problem-Solving Strategies Entropy and Jigsaw Puzzle Solving: A Framework for Understanding Problem-Solving Strategies Abstract This paper examines the relationship between entropy, information theory, and jigsaw puzzle solving strategies, proposing that puzzle assembly represents a microcosm of general problem-solving methodologies. Through analysis of various puzzle-solving techniques—from edge-first approaches to color clustering and shape matching—we demonstrate how entropy reduction serves as a fundamental organizing principle in both specific puzzle contexts and broader cognitive problem-solving frameworks. The paper argues that jigsaw puzzles provide an accessible model for understanding how humans navigate complex problem spaces through systematic entropy reduction, offering insights applicable to diverse domains including artificial intelligence, project management, and scientific methodology. ...