TY - GEN
T1 - Developing computational models of discretion to build legal knowledge based systems
AU - Kerner, Yaakov Ha Cohen
AU - Schild, Uri
AU - Zeleznikow, John
PY - 1999/6/14
Y1 - 1999/6/14
N2 - Few legal knowledge based systems have been constructed which provide numerical advice. None have been built in discretionary domains. Our research, directed towards the domains of sentencing and family law property division has lead to the development of three distinct forms of judicial discretion. To model these different discretionary domains we use diverse artificial intelligence tools including case-based reasoning and knowledge discovery from databases. We carry out a detailed comparison of two discretionary legal knowledge based systems. Judge's Apprentice is a case-based reasoner which recommends ranges of sentences for convicted Israeli rapists and robbers. SplitUp uses Knowledge Discovery from Databases to learn what percentage of marital property the partners to a divorce in Australia will receive. The systems are compared with regard to reasoning, explanation, evaluation and coping with conflicting cases.
AB - Few legal knowledge based systems have been constructed which provide numerical advice. None have been built in discretionary domains. Our research, directed towards the domains of sentencing and family law property division has lead to the development of three distinct forms of judicial discretion. To model these different discretionary domains we use diverse artificial intelligence tools including case-based reasoning and knowledge discovery from databases. We carry out a detailed comparison of two discretionary legal knowledge based systems. Judge's Apprentice is a case-based reasoner which recommends ranges of sentences for convicted Israeli rapists and robbers. SplitUp uses Knowledge Discovery from Databases to learn what percentage of marital property the partners to a divorce in Australia will receive. The systems are compared with regard to reasoning, explanation, evaluation and coping with conflicting cases.
UR - https://www.scopus.com/pages/publications/0033295260
U2 - 10.1145/323706.323799
DO - 10.1145/323706.323799
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AN - SCOPUS:0033295260
SN - 1581131658
T3 - Proceedings of the International Conference on Artificial Intelligence and Law
SP - 206
EP - 213
BT - Proceedings of the 7th International Conference on Artificial Intelligence and Law, ICAIL 1999
PB - ACM
T2 - 7th International Conference on Artificial Intelligence and Law, ICAIL 1999
Y2 - 14 June 1999 through 17 June 1999
ER -