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 ...
    • Mechanisms are Real and Local 

      Illari, Phyllis McKay; Williamson, Jon (Oxford University Press (OUP), 2011)
      Mechanisms have become much-discussed, yet there is still no consensus on how to characterise them. In this paper, we start with something everyone is agreed on – that mechanisms explain – and investigate what constraints ...
    • 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 ...