SHYSTER and the calculation of distance between cases

dc.contributor.authorPopple, Jamesen_US
dc.date.accessioned2003-07-14en_US
dc.date.accessioned2004-05-19T14:18:47Zen_US
dc.date.accessioned2011-01-05T08:45:16Z
dc.date.available2004-05-19T14:18:47Zen_US
dc.date.available2011-01-05T08:45:16Z
dc.date.created1992en_US
dc.date.issued1992en_US
dc.description.abstractThe SHYSTER project is concerned with the development of a hybrid legal expert system. The case-based part of SHYSTER chooses the cases upon which to base its opinion by measuring the similarity between previously-decided cases and the case in question. Statisticians make use of many different similarity measures, however – for SHYSTER - each of the commonly used similarity measures reduces to one of three measures. These measures can be weighted so that some facts in the cases can be given more importance than others. SHYSTER uses one of these weighted measures (a distance measure) to construct it opinion. Early testing shows that SHYSTER's approach to finding the distance between cases allows it to produce useful advice. Further testing will attempt to validate this approach empirically.en_US
dc.format.extent195325 bytesen_US
dc.format.extent356 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.format.mimetypeapplication/octet-streamen_US
dc.identifier.urihttp://hdl.handle.net/1885/41114en_US
dc.identifier.urihttp://digitalcollections.anu.edu.au/handle/1885/41114
dc.language.isoen_AUen_US
dc.subjectcase-based reasoningen_US
dc.subjectexpert systemsen_US
dc.subjectlawen_US
dc.subjectartificial intelligenceen_US
dc.subjectadministrative data processingen_US
dc.subjectTR-CSen_US
dc.titleSHYSTER and the calculation of distance between casesen_US
dc.typeWorking/Technical Paperen_US
local.citationTR-CS-92-05en_US
local.contributor.affiliationANUen_US
local.contributor.affiliationDepartment of Computer Science, FEITen_US
local.description.refereednoen_US
local.identifier.citationmonthapren_US
local.identifier.citationyear1992en_US
local.identifier.eprintid1656en_US
local.rights.ispublishedyesen_US

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