The correct answer is A. Quality of nodes.
A heuristic search is a type of search algorithm that uses a heuristic function to estimate the distance to the goal state. The heuristic function is a function that maps a state to a real number, and the goal is to find a path from the initial state to a goal state such that the total heuristic cost of the path is minimized.
The quality of nodes is important in heuristic search because it affects the quality of the heuristic function. A good heuristic function will estimate the distance to the goal state accurately, and this will help the search algorithm to find a good path to the goal state.
The quality of nodes can be improved by using a variety of techniques, such as:
- Using a better heuristic function.
- Using a more efficient search algorithm.
- Using a more accurate model of the problem.
B. Quality of heuristic function is also important, but it is not the only factor that affects the performance of heuristic search. The quality of nodes is also important, and it can be improved by using a variety of techniques.
C. Simple form of nodes is not necessarily better than a more complex form of nodes. The choice of node representation depends on the specific problem being solved.
D. None of the mentioned is not the correct answer.