Now showing items 1-3 of 3

    • Causality in the Sciences 

      Illari, Phyllis; Russo, Federica; Williamson, Jon; Social Sciences, Arts & Humanities Research Institute; Philosophy; School of Humanities (Oxford University Press (OUP), 2011)
      There is a need for integrated thinking about causality, probability and mechanisms in scientific methodology. Causality and probability are long-established central concepts in the sciences, with a corresponding philosophical ...
    • Models for Prediction, Explanation and Control : Recursive Bayesian Nets 

      Illari, Phyllis; Casini, Lorenzo; Russo, Federica; Williamson, Jon (2011)
      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 ...
    • Why look at causality in the sciences : A manifesto 

      Illari, Phyllis (Oxford University Press (OUP), 2011)
      This chapter is the introduction to the volume. The volume editors begin by setting out a manifesto that puts forward two theses: first, that the sciences are the best place to turn in order to understand causality; second, ...