Probability enters: expected utility and mixed strategies
The price of the existence theorem, and how to read a mixture.
延伸阅读
The price of a scale
Chapter 1 said utility is only a ranking, and any order-preserving transformation gives the same preferences. The moment you want to speak of 'half a chance of A and half of B', a ranking is not enough: two lotteries must be comparable. The representation von Neumann and Morgenstern supplied for that is expected utility. It turns ordinal utility into a quantity with a scale, and that scale was bought by the axioms rather than given for free.
Three readings of a mixture
What the mixed strategy in an equilibrium actually stands for admits at least three different answers: that the person really randomises; that the number is the opponent's belief about them; or Harsanyi's purification, where everyone in a population plays pure and the probability is a population share or the distribution of a private perturbation. The three give the same numbers and correspond to entirely different modelling commitments, so different observations refute them.
From the axioms to 'equal payoffs across used pure strategies'
What is being proved is the test for a mixed equilibrium, and which hypotheses it rests on.
Your mixture is set by the opponent's payoffs
The boundary of this chapter's claims
The 'mixture means individual randomising' commitment as a testable specification
The modelling commitment under test: the equilibrium mixture means the person randomises according to that distribution.