Steps in the Problem-Solving Process

Every AI problem-solving system follows a structured sequence of steps:

1. Problem Definition – Clearly describe the initial and goal states.
2. State Space Representation – Identify all possible states and transitions.
3. Search Strategy Selection – Choose the method to explore possible solutions.
4. Goal Testing – Verify if the goal state has been reached.
5. Path Optimization – Find the shortest or most efficient route to the goal.

For example, when designing an AI for maze navigation:

• The start is the maze entrance.
• The goal is the exit.
• The state space consists of all possible paths.
• The solution is the shortest valid route.

By following this framework, AI can tackle everything from simple puzzles to global-scale logistics problems.