Web Reference: In game theory, an information set is the basis for decision making in a game, which includes the actions available to players and the potential outcomes of each action. The second is for information sets which are not reached at all; indeed, these sets were the focus of all our examples. Bayes’ Rule cannot be applied to sets which are reached with probability zero; yet, as we’ve seen from the examples above, we do need some specification. Solution: The important point in this exercise is that Player 2 has to play the same move in a given information set. For example, she cannot play on the left node and on the right node of her second information set.
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