Predictions obtained by, eg, artificial neural networks have a high accuracy but humans
often perceive the models as black boxes. Insights about the decision making are mostly …

Background Medical use cases for machine learning (ML) are growing exponentially. The
first hospitals are already using ML systems as decision support systems in their daily …

A Course in Game Theory presents the main ideas of game theory at a level suitable for
graduate students and advanced undergraduates, emphasizing the theory's foundations …

Let N be a finite set and z be a real-valued function defined on the set of subsets of N that
satisfies z (S)+ z (T)≥ z (S⋃ T)+ z (S⋂ T) for all S, T in N. Such a function is called …

A First Course in Fuzzy Logic, Fourth Edition is an expanded version of the successful third
edition. It provides a comprehensive introduction to the theory and applications of fuzzy …

It has widely been recognized that submodular functions play essential roles in efficiently
solvable combinatorial optimization problems. Since the publication of the 1st edition of this …

Competitive adjustment processes in labor markets with perfect information but
heterogeneous firms and workers are studied. Generalizing results of Shapley and Shubik …

The goal of data attribution is to trace model predictions back to training data. Despite a long
line of work towards this goal, existing approaches to data attribution tend to force users to …

Non-Additive Measure and Integral is the first systematic approach to the subject. Much of
the additive theory (convergence theorems, Lebesgue spaces, representation theorems) is …

T his book has developed, to some extent, independently of the will of its author. The
question which originally provoked the study was: How can Marxism explain the apparent …