• DocumentCode
    3038452
  • Title

    Analogy making in criminal law with neural network

  • Author

    Theresa, M. M Janeela ; Raj, V. Joseph

  • Author_Institution
    Dept. of MCA, St. Xavier´´s Catholic Coll. of Eng., Chunkankadai, India
  • fYear
    2011
  • fDate
    23-24 March 2011
  • Firstpage
    772
  • Lastpage
    775
  • Abstract
    This paper considers the problem of decision making by a Judge in case of murder cases. The paper describes the construction of decision system to be used by a Judge about to pass sentence in a murder case. The system is an Analogy making from examples. In law, analogy is used to resolve issues on which there is no previous authority. Analogies are drawn from precedent cases. The Judge finds that the facts of another case are similar to the one at hand to an extent that the analogous application of the rule established in the previous case is justified. In this paper a neural network is described for judgment in murder cases. The examples demonstrate how to model legal system analogous to recent decisions, first by learning a system with court decisions, and second, by analyzing, modeling and testing the decision making neural network.
  • Keywords
    criminal law; neural nets; analogy making system; court decisions; criminal law; decision making; legal system; neural network; Artificial neural networks; Criminal law; Data mining; Fuzzy neural networks; Neurons; Analogy; Artificial neural network; Criminal law; Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on
  • Conference_Location
    Tamil Nadu
  • Print_ISBN
    978-1-4244-7923-8
  • Type

    conf

  • DOI
    10.1109/ICETECT.2011.5760222
  • Filename
    5760222