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D. 10
[game-tree] In the game tree show below, the first level is a MAX level (node a), the second is a MIN level (node b), the third is a MAX level (node c and node d), and the fourth is a MIN level.Use MINIMAX to obtain the value of each node (node a to node e) ___ . node a
![<p>[game-tree] In the game tree show below, the first level is a MAX level (node a), the second is a MIN level (node b), the third is a MAX level (node c and node d), and the fourth is a MIN level.Use MINIMAX to obtain the value of each node (node a to node e) ___ . node a</p>](https://assets.knowt.com/user-attachments/16129c60-02b0-4c4e-baf3-6beec65491bd.png)
D. 10
[game-tree] In the game tree show below, the first level is a MAX level (node a), the second is a MIN level (node b), the third is a MAX level (node c and node d), and the fourth is a MIN level.Use MINIMAX to obtain the value of each node (node a to node e) ___ . node b
![<p>[game-tree] In the game tree show below, the first level is a MAX level (node a), the second is a MIN level (node b), the third is a MAX level (node c and node d), and the fourth is a MIN level.Use MINIMAX to obtain the value of each node (node a to node e) ___ . node b</p>](https://assets.knowt.com/user-attachments/758f8ae3-8dd9-40eb-bb33-e5f63b8524bc.png)
D. 10
[game-tree] In the game tree show below, the first level is a MAX level (node a), the second is a MIN level (node b), the third is a MAX level (node c and node d), and the fourth is a MIN level.Use MINIMAX to obtain the value of each node (node a to node e) ___ . node c
![<p>[game-tree] In the game tree show below, the first level is a MAX level (node a), the second is a MIN level (node b), the third is a MAX level (node c and node d), and the fourth is a MIN level.Use MINIMAX to obtain the value of each node (node a to node e) ___ . node c</p>](https://assets.knowt.com/user-attachments/d7d33bac-4b13-4e2d-ac0f-f234bdf42d23.png)
F. 14
[game-tree] In the game tree show below, the first level is a MAX level (node a), the second is a MIN level (node b), the third is a MAX level (node c and node d), and the fourth is a MIN level.Use MINIMAX to obtain the value of each node (node a to node e) ___ . node d
![<p>[game-tree] In the game tree show below, the first level is a MAX level (node a), the second is a MIN level (node b), the third is a MAX level (node c and node d), and the fourth is a MIN level.Use MINIMAX to obtain the value of each node (node a to node e) ___ . node d</p>](https://assets.knowt.com/user-attachments/c5d2ab05-bc8d-454c-9a59-1064270a65fc.png)
D. 10
[game-tree] In the game tree show below, the first level is a MAX level (node a), the second is a MIN level (node b), the third is a MAX level (node c and node d), and the fourth is a MIN level.Use MINIMAX to obtain the value of each node (node a to node e) ___ . node e
![<p>[game-tree] In the game tree show below, the first level is a MAX level (node a), the second is a MIN level (node b), the third is a MAX level (node c and node d), and the fourth is a MIN level.Use MINIMAX to obtain the value of each node (node a to node e) ___ . node e</p>](https://assets.knowt.com/user-attachments/263feaa5-b9cf-4ffb-9764-7edfe4a4c23b.png)
ABCDEFG
[game-tree] Consider the search tree below. The initial state is at the top, and the goal states are G and I, represented by the double-bordered rectangles. (Note that this is a search tree. The edges are directed.)Give a chronologically ordered list of the nodes visited (including the final goal node) for each search strategy.
Breadth-First Search
![<p>[game-tree] Consider the search tree below. The initial state is at the top, and the goal states are G and I, represented by the double-bordered rectangles. (Note that this is a search tree. The edges are directed.)Give a chronologically ordered list of the nodes visited (including the final goal node) for each search strategy.</p><p>Breadth-First Search</p>](https://assets.knowt.com/user-attachments/913112b1-aed6-4ad9-ae91-9683d7524f40.png)
ABDEHI
[game-tree] Consider the search tree below. The initial state is at the top, and the goal states are G and I, represented by the double-bordered rectangles. (Note that this is a search tree. The edges are directed.)Give a chronologically ordered list of the nodes visited (including the final goal node) for each search strategy.
Depth-First Search
![<p>[game-tree] Consider the search tree below. The initial state is at the top, and the goal states are G and I, represented by the double-bordered rectangles. (Note that this is a search tree. The edges are directed.)Give a chronologically ordered list of the nodes visited (including the final goal node) for each search strategy.</p><p>Depth-First Search</p>](https://assets.knowt.com/user-attachments/9cf465de-3b6e-46e1-8542-d28611936966.png)
AABCABDECFG
[game-tree] Consider the search tree below. The initial state is at the top, and the goal states are G and I, represented by the double-bordered rectangles. (Note that this is a search tree. The edges are directed.)Give a chronologically ordered list of the nodes visited (including the final goal node) for each search strategy.
IDS
![<p>[game-tree] Consider the search tree below. The initial state is at the top, and the goal states are G and I, represented by the double-bordered rectangles. (Note that this is a search tree. The edges are directed.)Give a chronologically ordered list of the nodes visited (including the final goal node) for each search strategy.</p><p>IDS</p>](https://assets.knowt.com/user-attachments/6d95075a-6859-4954-b90d-7d5750a8d512.png)
ACFG
[game-tree] Consider the search tree below. The initial state is at the top, and the goal states are G and I, represented by the double-bordered rectangles. (Note that this is a search tree. The edges are directed.)Give a chronologically ordered list of the nodes visited (including the final goal node) for each search strategy
.Best-First Search
![<p>[game-tree] Consider the search tree below. The initial state is at the top, and the goal states are G and I, represented by the double-bordered rectangles. (Note that this is a search tree. The edges are directed.)Give a chronologically ordered list of the nodes visited (including the final goal node) for each search strategy</p><p>.Best-First Search</p>](https://assets.knowt.com/user-attachments/45fbb5e1-9641-44e8-8a07-903cea9e2ece.png)
ABECI
[game-tree] Consider the search tree below. The initial state is at the top, and the goal states are G and I, represented by the double-bordered rectangles. (Note that this is a search tree. The edges are directed.)Give a chronologically ordered list of the nodes visited (including the final goal node) for each search strategy.
A* Search
![<p>[game-tree] Consider the search tree below. The initial state is at the top, and the goal states are G and I, represented by the double-bordered rectangles. (Note that this is a search tree. The edges are directed.)Give a chronologically ordered list of the nodes visited (including the final goal node) for each search strategy.</p><p>A* Search</p>](https://assets.knowt.com/user-attachments/2086b391-a139-4882-81da-47ac38005ee2.png)
Node5 with value=17
[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.
13, 16, 5, 0, 17, 3, 18
![<p>[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.</p><p>13, 16, 5, 0, 17, 3, 18</p>](https://assets.knowt.com/user-attachments/1174076b-b95e-4bc5-9d37-946bca5d26ae.jpg)
Node4 with value=13
[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.
15, 15, 9, 13, 5, 4, 8
![<p>[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.</p><p>15, 15, 9, 13, 5, 4, 8</p>](https://assets.knowt.com/user-attachments/90fb7ba6-fb33-4bf1-b532-19aa484d6577.jpg)
Node3 with value=15
[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.
7, 6, 15, 4, 12, 3, 9, 0, 10
![<p>[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.</p><p>7, 6, 15, 4, 12, 3, 9, 0, 10</p>](https://assets.knowt.com/user-attachments/003293d7-acf6-4fcd-8210-0952cf51d5dc.jpg)
Node4 with value=14
[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.
3, 2, 11, 14, 2, 18, 16, 15, 11
![<p>[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.</p><p>3, 2, 11, 14, 2, 18, 16, 15, 11</p>](https://assets.knowt.com/user-attachments/c1cd68a3-1b0b-480d-a0ba-810db686e074.jpg)
greater than or equal to 3
[Alpha-Beta Pruning] For the game-tree shown below, state for which values of x the dashed branch with the scissors will be pruned. If the pruning will not happen for any value of x, then it should be "none". If pruning will happen for all values of x, select "all".
Cutting off 1 and 5
![<p>[Alpha-Beta Pruning] For the game-tree shown below, state for which values of x the dashed branch with the scissors will be pruned. If the pruning will not happen for any value of x, then it should be "none". If pruning will happen for all values of x, select "all".</p><p>Cutting off 1 and 5</p>](https://assets.knowt.com/user-attachments/abea19b7-ccd7-4866-be8c-074915da8ad2.jpg)
none
[Alpha-Beta Pruning] For the game-tree shown below, state for which values of x the dashed branch with the scissors will be pruned. If the pruning will not happen for any value of x, then it should be "none". If pruning will happen for all values of x, select "all".
Cutting off 4
![<p>[Alpha-Beta Pruning] For the game-tree shown below, state for which values of x the dashed branch with the scissors will be pruned. If the pruning will not happen for any value of x, then it should be "none". If pruning will happen for all values of x, select "all".</p><p>Cutting off 4</p>](https://assets.knowt.com/user-attachments/64a0fe1b-e392-4483-942d-43090c1e7e51.jpg)
none
[Alpha-Beta Pruning] For the game-tree shown below, state for which values of x the dashed branch with the scissors will be pruned. If the pruning will not happen for any value of x, then it should be "none". If pruning will happen for all values of x, select "all".
Cutting off 1
![<p>[Alpha-Beta Pruning] For the game-tree shown below, state for which values of x the dashed branch with the scissors will be pruned. If the pruning will not happen for any value of x, then it should be "none". If pruning will happen for all values of x, select "all".</p><p>Cutting off 1</p>](https://assets.knowt.com/user-attachments/3118b024-8cae-48ee-a225-b3e449b1e387.jpg)
10
[game-tree] In the game tree show below, the first level is a MAX level, the second is a MIN level, the third is a MAX level and the fourth is a MIN level. Each leaf-node shows its value for MiniMax search, and each node is labeled (from left to right) as L1, L2, ... Use MINIMAX to obtain the estimate of the position at root node (Max Node).
![<p>[game-tree] In the game tree show below, the first level is a MAX level, the second is a MIN level, the third is a MAX level and the fourth is a MIN level. Each leaf-node shows its value for MiniMax search, and each node is labeled (from left to right) as L1, L2, ... Use MINIMAX to obtain the estimate of the position at root node (Max Node).</p>](https://assets.knowt.com/user-attachments/7c2c8ec8-74a0-43de-9276-e47f52b11601.png)
Node4 with value=16
[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.
9, 17, 8, 16, 6, 18, 2, 18
![<p>[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.</p><p>9, 17, 8, 16, 6, 18, 2, 18</p>](https://assets.knowt.com/user-attachments/fb1a68e9-c51b-4bc3-9ebc-a86eb1b02eab.jpg)
Node5 with value=14
[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.
11, 15, 3, 2, 14, 11, 2, 18, 16
![<p>[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.</p><p>11, 15, 3, 2, 14, 11, 2, 18, 16</p>](https://assets.knowt.com/user-attachments/3b8816c2-72e5-4983-87cd-685bca3a0a7d.jpg)
Node4 with value=19
[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned
13, 14, 12, 19, 13, 3, 14, 16
![<p>[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned</p><p>13, 14, 12, 19, 13, 3, 14, 16</p>](https://assets.knowt.com/user-attachments/7ce6e2ab-2609-4d2d-8873-7f362b995afc.jpg)
L4
[game-tree] In the game tree show below, the first level is a MAX level, the second is a MIN level, the third is a MAX level and the fourth is a MIN level. Each leaf-node shows its value for MiniMax search, and each node is labeled (from left to right) as L1, L2, ... Apply alpha-beta pruning to the tree. Some leaves need not be evaluated (to be pruned). Which will be the first leaf-node to be pruned?
![<p>[game-tree] In the game tree show below, the first level is a MAX level, the second is a MIN level, the third is a MAX level and the fourth is a MIN level. Each leaf-node shows its value for MiniMax search, and each node is labeled (from left to right) as L1, L2, ... Apply alpha-beta pruning to the tree. Some leaves need not be evaluated (to be pruned). Which will be the first leaf-node to be pruned?</p>](https://assets.knowt.com/user-attachments/1e376618-4aea-4a0a-9b00-1700ec97e475.png)
greater than or equal to 2
[Alpha-Beta Pruning] For the game-tree shown below, state for which values of x the dashed branch with the scissors will be pruned. If the pruning will not happen for any value of x, then it should be "none". If pruning will happen for all values of x, select "all".
Cutting off 6
![<p>[Alpha-Beta Pruning] For the game-tree shown below, state for which values of x the dashed branch with the scissors will be pruned. If the pruning will not happen for any value of x, then it should be "none". If pruning will happen for all values of x, select "all".</p><p>Cutting off 6</p>](https://assets.knowt.com/user-attachments/693af4ca-7b8f-4f2b-95cd-4559b6d438ee.png)
Alpha is negative infinity
[game-tree] In the game tree show below, the first level is a MAX level, the second is a MIN level, the third is a MAX level and the fourth is a MIN level. Each leaf-node shows its value for MiniMax search, and each node is labeled (from left to right) as L1, L2, ... Apply alpha-beta search to the tree. Some leaves need not be evaluated (to be pruned). After processing all the nodes below, what would be the alpha value or beta value of the node (that is, the parent of L1 and L2) shown below for alpha and beta values?
![<p>[game-tree] In the game tree show below, the first level is a MAX level, the second is a MIN level, the third is a MAX level and the fourth is a MIN level. Each leaf-node shows its value for MiniMax search, and each node is labeled (from left to right) as L1, L2, ... Apply alpha-beta search to the tree. Some leaves need not be evaluated (to be pruned). After processing all the nodes below, what would be the alpha value or beta value of the node (that is, the parent of L1 and L2) shown below for alpha and beta values?</p>](https://assets.knowt.com/user-attachments/47b738dd-27ec-4c85-9333-0e08e3085c09.png)
less than or equal to 1
[Alpha-Beta Pruning] For the game-tree shown below, state for which values of x the dashed branch with the scissors will be pruned. If the pruning will not happen for any value of x, then it should be "none". If pruning will happen for all values of x, select "all". (Note: Δ is Maximizer, ∇ is Minimizer)
Cutting off 3
![<p>[Alpha-Beta Pruning] For the game-tree shown below, state for which values of x the dashed branch with the scissors will be pruned. If the pruning will not happen for any value of x, then it should be "none". If pruning will happen for all values of x, select "all". (Note: Δ is Maximizer, ∇ is Minimizer)</p><p>Cutting off 3</p>](https://assets.knowt.com/user-attachments/c616cca4-ab26-4508-a578-004f2a35e54d.png)
Node4 with value=18
[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.
11, 15, 2, 18, 16, 2, 3, 14, 11
![<p>[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.</p><p>11, 15, 2, 18, 16, 2, 3, 14, 11</p>](https://assets.knowt.com/user-attachments/2343406e-ff59-41b3-8857-efbf81c82108.jpg)
Node7 with value=19
[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned
13, 14, 16, 14, 3, 12, 19, 13
![<p>[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned</p><p>13, 14, 16, 14, 3, 12, 19, 13</p>](https://assets.knowt.com/user-attachments/f732e13b-2bbf-4936-9d65-65129df59598.jpg)
Node3 with value=10
[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.
9, 6, 10, 1, 8, 18
![<p>[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.</p><p>9, 6, 10, 1, 8, 18</p>](https://assets.knowt.com/user-attachments/6d9db237-ef4f-4e50-8a6e-99254eccc6b4.jpg)
Node4 with value=8
[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.
9, 13, 4, 8, 5, 15, 15
![<p>[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.</p><p>9, 13, 4, 8, 5, 15, 15</p>](https://assets.knowt.com/user-attachments/e610eb41-9ab8-475c-b2d4-2ee88b0d11ea.jpg)
Node4 with value=19
[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.
19, 17, 10, 19, 16, 13, 2
![<p>[Alpha-Beta] Consider the following minimax tree with alpha-beta pruning, with each leaf node and its value as shown below. Select the first leaf-node to be pruned.</p><p>19, 17, 10, 19, 16, 13, 2</p>](https://assets.knowt.com/user-attachments/692112ea-26a6-4c40-941e-950329b73d51.jpg)