The University of Dublin | Trinity College -- Ollscoil Átha Cliath | Coláiste na Tríonóide
Trinity's Access to Research Archive
Home :: Log In :: Submit :: Alerts ::

School of Computer Science and Statistics >
Computer Science >
Computer Science Technical Reports >

Please use this identifier to cite or link to this item:

Title: Retrieval Issues in Real-World CBR Applications How far can we go with discrimination-nets?
Author: Cunningham, Pádraig
Smyth, Barry
Finn, Donal
Cahill, Eamonn
Keywords: Abstract remindings
discrimination networks
interactive CBR
Issue Date: Jun-1993
Publisher: Trinity College Dublin, Department of Computer Science
Citation: Cunningham, Pádraig; Smyth, Barry; Finn, Donal; Cahill, Eamonn. 'Retrieval Issues in Real-World CBR Applications How far can we go with discrimination-nets?'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-93-04, 1993, pp13
Series/Report no.: Computer Science Technical Report
Abstract: We propose that analogical reasoning and case based reasoning (CBR) tasks can be usefully characterised as a continuum reflecting the remoteness of the remindings involved. Remindings in CBR are generally between semantically close cases while analogical reasoning depends on more abstract remindings. Rather than there being a strict demarcation between CBR and analogical reasoning on these grounds (with analogical reasoning concerned with inter domain remindings and CBR dealing with remindings within one domain) there is a continuum of cognitive tasks that draw on past experience during reasoning. Simpler tasks like diagnosis and classification are located near the CBR end while more complex tasks like creative design are located towards the analogical reasoning end. The question is how far towards the abstract end of the continuum can the index-based retrieval techniques that are effective in CBR be used (eg. discrimination networks). We are considering episode retrieval as a two stage process; the first stage being the initial filtering of the case base, and the second stage selecting the best case from this candidate set. We focus on the base filtering stage and conclude that discrimination networks are adequate for comparatively complex cognitive tasks such as routine design. However, we argue that CBR systems for non-routine design should provide interactive case retrieval and act as CBR assistants.
Appears in Collections:Computer Science Technical Reports

Files in This Item:

File Description SizeFormat
TCD-CS-93-04.pdf75.68 kBAdobe PDFView/Open

This item is protected by original copyright

Please note: There is a known bug in some browsers that causes an error when a user tries to view large pdf file within the browser window. If you receive the message "The file is damaged and could not be repaired", please try one of the solutions linked below based on the browser you are using.

Items in TARA are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback