Combining Argumentation and Bayesian Nets for Breast Cancer Prognosis

  • Matt Williams
  • Jon Williamson


We present a new framework for combining logic with probability, and demonstrate the application of this framework to breast cancer prognosis. Background knowledge concerning breast cancer prognosis is represented using logical arguments. This background knowledge and a database are used to build a Bayesian net that captures the probabilistic relationships amongst the variables. Causal hypotheses gleaned from the Bayesian net in turn generate new arguments. The Bayesian net can be queried to help decide when one argument attacks another. The Bayesian net is used to perform the prognosis, while the argumentation framework is used to provide a qualitative explanation of the prognosis.

Key words

argumentation logic bayes theorem bayesian networks 


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Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  1. 1.Advanced Computation Laboratory, Cancer ResearchLondonUK
  2. 2.Department of PhilosophyLogic and Scientific Method, London School of EconomicsLondonUK

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