Unit 4. Problem Solving and Search

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Across
  1. 3. A function used in informed search to estimate the cost to reach a goal.
  2. 6. The starting state or point from which an AI agent begins problem-solving.
  3. 7. The type of search (BFS) that expands nodes level by level using a FIFO queue.
  4. 11. A model in problem formulation that describes what happens after taking an action.
  5. 12. The process of exploring different possible actions to find the best move or solution.
Down
  1. 1. A type of AI problem where errors can be fixed through manual intervention or built-in mechanisms.
  2. 2. The type of search (DFS) that explores the deepest node in a branch before backtracking.
  3. 4. Minor errors that have no significant impact on AI performance.
  4. 5. A challenge or mistake faced by an agent that determines problem type.
  5. 8. An entity that perceives its environment and acts upon it to achieve its goals.
  6. 9. A category of search strategies search methods where the AI has no additional information about how far the goal is
  7. 10. A specific configuration or situation an AI agent can be in within a problem space.