Decision Systems and Nonstochastic Randomness
Decision Systems and Nonstochastic Randomness presents the first 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 descript...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Édition: | 1. |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Decision systems and non-stochastic randomness, by V.I. Ivanenko, New York, Springer, 2010, 1 vol. (xii-272 p.), 978-1-441-95547-0 |
Table des matières:
- Decision Systems Indifferent Uncertainty Nonstochastic Randomness General Decision Problems Experiment in Decision Problems Informativity of Experiment in Bayesian Decision Problems Reducibility of Experiments in Multistep Decision Problems Concluding Remarks