分野別セミナー

Over the last decade, the integration of cooperative game theory,
particularly Shapley values,into feature importance for explainable AI
has gained traction. This approach offers axiomatic guarantees,
suggesting a principled distribution of importance among features.
However, the focus has largely remained on Shapley values and
transferable utility games, limiting exploration into alternative game
structures and solution concepts. This talk
explores a broader scope, including different game classes, axioms and
characteristic functions. Through various angles we challenge the
standard reliance on Shapley values, advocating for a broader, more
nuanced application of game theory.