Heuristic search techniques are used for problem-solving in AI systems. These techniques help find the most efficient path from a starting point to a goal, making them essential for applications such as navigation systems, game playing, and optimization problems.
- Heuristic search operates within the search space of a problem to find the best or near-optimal solution using systematic algorithms.
- Unlike brute-force methods, which exhaustively evaluate all possible solutions, heuristic search leverages heuristic information to guide the search toward more promising paths.
In this context, heuristics refer to a set of criteria or rules of thumb that provide an estimate of the most viable solution. By balancing exploration (searching new possibilities) and exploitation (refining known solutions), heuristic algorithms efficiently solve complex problems that would otherwise be computationally expensive.
#Components
#Algorithms
- A* Search
- Hill-climbing Search
- Simulated Annealing
- Greedy Best-First Search
- Beam Search
Dijkstra