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Questions and Answers
What is the purpose of the evaluation function $f(n)$ in the A* search algorithm?
What is the purpose of the evaluation function $f(n)$ in the A* search algorithm?
- To estimate the total cost of the path from the start node to the goal node through node $n$ (correct)
- To calculate the cost of reaching node $n$ from the start node
- To determine the order in which nodes are expanded during the search
- To estimate the cost of reaching the goal node from node $n$
Which property of the heuristic function $h(n)$ is required for the A* search algorithm to be complete and optimal?
Which property of the heuristic function $h(n)$ is required for the A* search algorithm to be complete and optimal?
- The heuristic function must be monotonic
- The heuristic function must be efficient
- The heuristic function must be admissible (correct)
- The heuristic function must be consistent
What is the main difference between the Uniform Cost Search (UCS) and the A* search algorithm?
What is the main difference between the Uniform Cost Search (UCS) and the A* search algorithm?
- UCS expands nodes in order of their depth, while A* expands nodes in order of their breadth
- UCS is complete and optimal, while A* is only complete
- UCS uses $f(n) = g(n)$, while A* uses $f(n) = g(n) + h(n)$ (correct)
- UCS is more efficient than A* for solving problems with uniform cost
Suppose you are using the A* search algorithm to find the shortest path between two cities. Which of the following properties of the heuristic function $h(n)$ would be most desirable?
Suppose you are using the A* search algorithm to find the shortest path between two cities. Which of the following properties of the heuristic function $h(n)$ would be most desirable?
How does the A* search algorithm expand the search tree compared to other uninformed search methods, such as Breadth-First Search (BFS) or Depth-First Search (DFS)?
How does the A* search algorithm expand the search tree compared to other uninformed search methods, such as Breadth-First Search (BFS) or Depth-First Search (DFS)?
Which of the following statements about the search tree explored by the A* algorithm is true?
Which of the following statements about the search tree explored by the A* algorithm is true?
What is the evaluation function, f, for node F?
What is the evaluation function, f, for node F?
Which of the following best defines an admissible heuristic?
Which of the following best defines an admissible heuristic?
In the 8-puzzle problem, what does h2(n) represent as a heuristic?
In the 8-puzzle problem, what does h2(n) represent as a heuristic?
Which theorem states that if h(n) is admissible, A* using TREE-SEARCH is optimal?
Which theorem states that if h(n) is admissible, A* using TREE-SEARCH is optimal?
Why is an admissible heuristic important in A* search algorithm?
Why is an admissible heuristic important in A* search algorithm?
What does it mean for an evaluation function to be complete in search algorithms?
What does it mean for an evaluation function to be complete in search algorithms?
What is the branching factor (b) in the context of search algorithms?
What is the branching factor (b) in the context of search algorithms?
Which type of search method does Depth Limited Search (DLS) fall under?
Which type of search method does Depth Limited Search (DLS) fall under?
In the context of search algorithms, what does an admissible heuristic mean?
In the context of search algorithms, what does an admissible heuristic mean?
What is the purpose of the evaluation function in A* search algorithm?
What is the purpose of the evaluation function in A* search algorithm?
Which search algorithm is known for using a combination of g(n) and h(n) functions for node evaluation?
Which search algorithm is known for using a combination of g(n) and h(n) functions for node evaluation?
In the context of A* search, what does the letter 'A' stand for?
In the context of A* search, what does the letter 'A' stand for?