Normalized Banzhaf index 2026-10-25
The normalized Banzhaf index rescales the probabilistic Banzhaf indices to sum to the grand-coalition value, whenever the denominator is nonzero. It preserves cooperative-game symmetry and assigns zero to a null player, but generally fails cooperative-game additivity. For example, add the three-player majority game to a dictatorship of player one. Their normalized indices are and , whereas the sum game has normalized index , not their vector sum. The sum game has grand-coalition value two, which must be retained in the normalization.
Null player 2026-10-25
A null player has zero marginal contribution to every coalition. The axiom for a null player requires allocating that player zero. This is the zero-marginal convention used here.
For a fixed finite player set and characteristic function with , let be the allocated payoff vector. A standard four-axiom characterization is:
These axioms uniquely specify the Shapley value. This is the zero-marginal null-player convention. The original work combines some requirements into an equivalent formulation.[ref]
A Value for N-Person Games by Lloyd Shapley (RAND paper). RAND P-295, 1952, abstract identifies an axiomatic construction; the four-part formulation and proof are given in Shapley value axioms
The probabilistic Banzhaf index satisfies cooperative-game symmetry, the null player axiom and cooperative-game additivity, but not cooperative-game efficiency.
For cooperative-game symmetry, interchangeable players have for every omitting them. The Banzhaf difference identity therefore gives equal indices. For a null player, every marginal contribution in the defining average is zero, so its index is zero.
For cooperative-game additivity, each marginal contribution is additive:Averaging both sides over the same coalitions gives .
For failure of cooperative-game efficiency, the indices computed in part (b) sum to , whereas the grand-coalition value is one. This is already a counterexample. Independently, a three-player majority game gives each player index , also exceeding the total value when summed. Pivotality averaged over independently chosen coalitions does not telescope in the way the ordering-average Shapley value does.
Where its denominator is nonzero, normalization enforces cooperative-game efficiency and preserves cooperative-game symmetry and the null player axiom. The violated axiom is cooperative-game additivity.
For an exact counterexample on three players, let be the majority game, and let be the dictatorship in which a coalition wins precisely when it contains player one. Their probabilistic Banzhaf indices arewith . HenceUnnormalized indices add, so . Their sum is , while . ThereforeThe sum game is a valid transferable utility game, although it is not binary; that is the natural domain of the additivity axiom. The failure comes from a game-dependent scaling factor. A zero denominator, as for the zero game, makes the displayed normalization undefined unless a separate convention is supplied; none of the counterexample's denominators vanish.
Shapley value axioms 2026-10-25
Cooperative-game efficiency, cooperative-game symmetry, the null player axiom and cooperative-game additivity characterize the Shapley value. The ordering-average definition satisfies all four: marginal totals telescope, relabelling players preserves the ordering average, zero marginals average to zero and marginal contributions add pointwise. The original work gives an equivalent axiomatization combining some of these requirements.[ref]
A Value for N-Person Games by Lloyd Shapley (RAND paper). RAND P-295, 1952, abstract: a value deduced from three axioms
For uniqueness, write for the unanimity game of a nonempty coalition . Recursively define in increasing order of . Then , so . Apply the axioms to every scaled unanimity game . Players outside receive zero; cooperative-game symmetry and cooperative-game efficiency give each player inside the amount . Every game is a finite sum of such scaled unanimity games, and cooperative-game additivity therefore determines every allocation uniquely. Applying the axioms directly to the scaled games avoids assuming real homogeneity from additivity alone.