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The proposed payoff allocation policy is shown to be fair, efficient and individually rational.
It explains the expected payoff allocation for the Cooperative Privacy Game (mathcal {G}).
The core is the set of all payoff allocation vectors which satisfy the following properties.
A payoff allocation which holds Individual's rationality and collective rationality is called Imputation.
It is shown that a better payoff allocation mechanism can be computed by introducing some clearing functions in the model.
Let (x=(x_{1},x_{2},...,x_{n})) be a payoff allocation vector, where (x_{i}) is the payoff of ith player.
Similar(48)
Let be a nonempty convex and closed set representing the feasible set of payoff allocations for players if they work together.
Let (mathbf W={(U_{1},U_{2})} subset mathbb R^{2}) represent the set of feasible payoff allocations that each transmitter can get if they can reach an agreement to cooperate.
Thus, each active person (96 in total) was exposed to 10 binary decision problems with (10, 10) as the recurring equal-material-payoff allocation.
In each decision problem one of the two alternatives (the alternative "Right", say) is the (recurring) equal-material-payoff allocation (m, o)= e, e).
We determined allocations resulting from selfish payoff maximization, allocations that maximize a utilitarian sum of payoffs including that of the allocator, allocations that maximize the number of treated patients, and Rawlsian allocations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com