Explaining Relevance

  • Paolo Garbolino
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 94)


It is currently possible to build computational models of single-case legal evidential reasoning, and many software packages are available on the market that are suitable for the task.1 It is true that every legal case is different, but we can reasonably hope to find general abstract structures, “consolidative models,”2 that can be applied to different cases whenever the same kind of evidence is dealt with.


Supra Note Evidential Reasoning Public Notary Bayesian Network Model Probability Judgment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Physica-Verlag Heidelberg 2002

Authors and Affiliations

  • Paolo Garbolino

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