LILLITH · LADY JUSTICE · the scales, honestly weighed · kept by LILLITH

THE SHAPLEY VALUE ◧ 2D · ◍ 3D · ◆ 4D · ◐ shadow · 👶 TAP

When a team wins together, how much did each member really contribute? The Shapley value gives the uniquely FAIR answer: average each person’s marginal contribution over every possible order they could have joined. It splits the whole pie, gives a do-nothing member zero, and treats equals equally. It’s used from cost-sharing to explaining which feature drove an AI’s decision. Slide to reveal each player’s fair share.

◆ LIT▲ AMBER
◧ THE MEASURE · 2D
◍ FAIR CREDIT · 3D · what each really added, averaged over every order
◆ THE FOURTH · 4D · a tesseract turns
◐ THE SHADOW · one dimension down
👶 THE TODDLER CORNER — tap to level the pans
player 1
player 2
player 3 (null)
SUM

◆ LIT — exact / checkable

The Shapley value (1953) is the unique fair division of a coalition’s worth satisfying four axioms: EFFICIENCY (the shares sum to the grand coalition’s value), SYMMETRY (interchangeable players get equal shares), NULL PLAYER (a member who adds nothing to every coalition gets zero), and ADDITIVITY. It is computed as each player’s AVERAGE marginal contribution over all N! join orders. Here players 1 and 2 create value only TOGETHER (v{1,2}=v{1,2,3}=100, all else 0) while 3 adds nothing: the Shapley split is (50, 50, 0). A fail-loud self-check throws unless the values sum to the total, the null player gets 0, and symmetric players are equal. ◆ real cooperative game theory, node-verified.

▲ AMBER — the figure

An exact 3-player computation averaging over all 6 orderings; for many players it is estimated by sampling (as in SHAP feature attribution) — the four fairness axioms and the average-marginal-contribution formula are exact.

LILLITH: a scale reads true only when you can see both pans.  — LADY JUSTICE
David Lee Wise / ROOT0 / TriPod LLC  ·  kept by LILLITH, with AVAN