1. Should Causal Models Always Be Markovian? The Case of Multi-Causal Forks in Medicine.Donald Gillies & Aidan Sudbury - 2013 - European Journal for Philosophy of Science 3 (3):275-308.
    The development of causal modelling since the 1950s has been accompanied by a number of controversies, the most striking of which concerns the Markov condition. Reichenbach's conjunctive forks did satisfy the Markov condition, while Salmon's interactive forks did not. Subsequently some experts in the field have argued that adequate causal models should always satisfy the Markov condition, while others have claimed that non-Markovian causal models are needed in some cases. This paper argues for the second position by considering the multi-causal (...)
    Direct download (6 more)  
    Export citation  
  2. The Paradox of the Unexpected Examination.Crispin Wright & Aidan Sudbury - 1977 - Australasian Journal of Philosophy 55 (1):41 – 58.
  3.  25
    Scientific Laws That Are Neither Deterministic nor Probabilistic.Aidan Sudbury - 1976 - British Journal for the Philosophy of Science 27 (4):307-315.