In game theory, the average branching factor refers to the average number of legal moves available to a player at each turn. In chess, the average branching factor is about 35 .If Jules wants to write a chess simulation program that represents every possible sequence of moves in a game that lasts n moves, the following function approximates the number of distinct sequences s(n) he would simulate.s(n)=35nHow many times greater does the number of sequences become each time the game lasts 2 moves longer?
Q. In game theory, the average branching factor refers to the average number of legal moves available to a player at each turn. In chess, the average branching factor is about 35 .If Jules wants to write a chess simulation program that represents every possible sequence of moves in a game that lasts n moves, the following function approximates the number of distinct sequences s(n) he would simulate.s(n)=35nHow many times greater does the number of sequences become each time the game lasts 2 moves longer?
Calculate Sequences for n Moves: Let's first calculate the number of sequences for a game that lasts n moves using the given function s(n)=35n.
Calculate Sequences for (n+2) Moves: Now, let's calculate the number of sequences for a game that lasts (n+2) moves, which would be s(n+2)=35(n+2).
Find Ratio of Sequences Increase: To find out how many times greater the number of sequences becomes when the game lasts 2 moves longer, we need to divide the number of sequences for (n+2) moves by the number of sequences for n moves. This gives us the ratio:s(n)s(n+2)=35n35(n+2)
Simplify Ratio Using Exponents: Using the properties of exponents, we can simplify the ratio by subtracting the exponents:35n35(n+2)=35(n+2−n)=352
Calculate Factor of Increase: Calculating 352 gives us the exact factor by which the number of sequences increases:352=35×35=1225
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