Q. The initial state and the legal moves for each side define the __________ for the game.

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Q. General algorithm applied on game tree for making decision of win/lose is ____________.

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Q. Which search is equal to minimax search but eliminates the branches that can’t influence the final decision?

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Q. Which search is similar to minimax search?

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Q. How the effectiveness of the alpha-beta pruning gets increased?

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Q. Which is identical to the closed list in Graph search?

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Q. Which function is used to calculate the feasibility of whole game tree?

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Q. What is called as transposition table?

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Q. Where does the values of alpha-beta search get updated?

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Q. Which value is assigned to alpha and beta in the alpha-beta pruning?

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Q. To which depth does the alpha-beta pruning can be applied?

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Q. Which values are independent in minimax search algorithm?

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Q. Which is the most straightforward approach for planning algorithm?

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Q. What are conditions taken into account of state-space search?

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Q. How many ways are available to solve the state-space search?

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Q. What is the other name for forward state-space search?

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Q. What is the main advantage of backward state-space search?

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Q. What is the other name of backward state-space search?

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Q. What is meant by consistent in state-space search?

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Q. What will happen if a predecessor description is generated that is satisfied by the initial state of the planning problem?

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