Decision Systems and Nonstochastic Randomness; Preface; Contents; Chapter 1 Introduction; Chapter 2 Decision Systems; Chapter 3 Indifferent Uncertainty; Chapter 4 Nonstochastic Randomness; Chapter 5 General Decision Problems; Chapter 6 Experiment in Decision Problems; Chapter 7 Informativity of Experiment in Bayesian Decision Problems; Chapter 8 Reducibility of Experiments in Multistep Decision Problems; Chapter 9 Concluding Remarks; Appendix A Mathematical Supplement; References; Index
Summary
Presents the mathematical formalization of the statistical regularities of non-stochastic randomness and demonstrates how these regularities extend the standard probability-based model of decision making under uncertainty, allowing for the description of uncertain mass events that do not fit standard stochastic models
