Planning Algorithms
Planning algorithms are computational methods used to determine a sequence of actions or decisions to achieve a specific goal from an initial state, often in complex or uncertain environments. They are fundamental in artificial intelligence, robotics, and operations research, enabling systems to solve problems like pathfinding, task scheduling, and resource allocation. These algorithms typically involve searching through possible states and actions while considering constraints, costs, and objectives.
Developers should learn planning algorithms when building applications that require automated decision-making, such as autonomous vehicles, game AI, logistics optimization, or robotic control systems. They are essential for solving problems where brute-force search is infeasible, and heuristics or probabilistic methods are needed to find efficient solutions in real-time scenarios.