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Split Up is an intelligent decision support system, which makes predictions about the distribution of marital property following divorce in Australia. It is designed to assist judges, registrars of the Family Court of Australia, mediators and lawyers. Split Up operates as a hybrid system, combining rule – based reasoning with neural network theory.〔Stranieri, A. and Zeleznikow, J., Split_Up: The use of an argument based knowledge representation to meet expectations of different users for discretionary decision making,p.1 Research has shown that rule-based reasoning on its own is not ideal in discretionary fields of law.〕 Rule based reasoning operates within strict parameters, in the form: IF < condition(s) > then Neural networks, by contrast, are considered to be better suited to generate decisions in uncertain domains, since they can be taught to weigh the factors considered by judicial decision makers from case data. Yet, they do not provide an explanation for the conclusions they reach. Split_up, with a view to overcome this flaw, uses argument structures proposed by Toulmin as the basis for representations from which explanations can be generated.〔Stranieri,A. and Zeleznikow, J. (1995) The split-up system: integrating neural networks and rule-based reasoning in the legal domain.〕 ==Application== In Australian family law, a judge in determining the distribution of property will: #identify the assets of the marriage included in the common pool #establish what percentage of the common pool each party will receive #determine a final property order in line with the decisions made in 1. and 2. Split_Up implements step 1 and 2 : the common pool determination and the prediction of a percentage split. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Split Up (expert system)」の詳細全文を読む スポンサード リンク
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