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Consider the following graph representing the state space and operators of a navigation problem. The path cost is shown by the number on the links;
Consider the following graph representing the state space and operators of a navigation problem.
The path cost is shown by the number on the links; the heuristic evaluation is shown by the number in the box.
- There are two goal states at G and F
- Unless there is an order required by the algorithm, when placing expanded child nodes on a queue, assume that the child nodes are placed in alphabetical order (i.e. if node S is expanded the queue will be: A B).
- Assume that we never generate child nodes that appear as ancestors of the current node in the search tree.
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- What is the order that best first search will expand the nodes?
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- What is the order that hill-climbing search will expand the nodes?
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- What is the order that uniform cost search will expand the nodes? Give each steps state and elements in the Queue and draw the search tree.
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- What is the order that A* search will expand the nodes? Give each steps state and elements in the Queue and draw the search tree.
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- What is the order that IDA* search will expand the nodes, using the cost limit sequence {5, 7, 8}? Give each steps state and elements in the Queue.
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