Models for Prediction, Explanation and Control: Recursive Bayesian Networks

Models for Prediction, Explanation and Control: Recursive Bayesian Networks

<p>The Recursive Bayesian Net (RBN) formalism was originally developed for modelling nested causal relationships. In this paper we argue that the formalism can also be applied to modelling the hierarchical structure of mechanisms. The resulting network contains quantitative information about p...

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Bibliographic Details
Main Authors: Lorenzo Casini, Phyllis McKay Illari, Federica Russo, Jon Williamson
Format: Article
Language:English
Published: University of the Basque Country 2011-01-01
Series:THEORIA : an International Journal for Theory, History and Fundations of Science
Subjects:
Bayesian network
Causal model
Mechanism
Explanation
Prediction
Control
Online Access:http://www.ehu.es/ojs/index.php/THEORIA/article/view/784

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