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A computational framework for using both rules and previously-decided cases in a legal decision making process

Pal, Kamalendu; (1997) A computational framework for using both rules and previously-decided cases in a legal decision making process. Masters thesis (M.Phil), UCL (University College London). Green open access

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Abstract

A hybrid knowledge-based system, Advisory Support for Home Settlement in Divorce (ASHSD), which exploits both general legal rules (for rule-based reasoning or RBR) and specific information taken from previously-decided similar cases (for case-based reasoning or CBR), is described. Legal knowledge in the system covers three aspects of matrimonial home settlement in divorce in English law, namely owned home settlement, transfer of tenancy, and injunctions to protect a spouse, or a family member in the custody of a spouse. The user can select either reasoning method (RBR or CBR), or indicate no preference. ASHSD's rule base consists of two types of rule. The first type of rules determines which options are legally applicable. The second type indicates how the courts are likely to act within the range of options available, which is determined by the first type of rules. When CBR is selected, the system uses the features of previously-decided cases to select the most similar cases to the situation that is described in the input and displays their details of decisions. When no preference is indicated, the system applies each method separately, and then presents results based on an automated relative rating of the qualities of the RBR (based on the second type of rules) and CBR advice.

Type: Thesis (Masters)
Qualification: M.Phil
Title: A computational framework for using both rules and previously-decided cases in a legal decision making process
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Thesis digitised by ProQuest.
URI: https://discovery.ucl.ac.uk/id/eprint/10104561
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