Shapley Values with Uncertain Value Functions

We propose a novel definition of Shapley values with uncertain value functions based on first principles using probability theory. Such can arise in the context explainable machine learning as result non-deterministic algorithms. show that random effects fact be absorbed into noiseless but shifted function. Hence, used analogy to regular values. However, their reliable evaluation typically requires more computational effort.