Please use this identifier to cite or link to this item:
|Title:||Modelling human cognition in problem diagnosis: A hybrid case-based reasoning methodology|
Hybrid case-based reasoning
|Source:||Law, Y.F.D. (1997-06). Modelling human cognition in problem diagnosis: A hybrid case-based reasoning methodology. Informatica (Ljubljana) 21 (2) : 209-217. ScholarBank@NUS Repository.|
|Abstract:||As modern business functions become more knowledge-intensive, the demand for intelligent and knowledge-based systems has increased. Part of the challenge of developing quality expert systems lies in the effective modelling of cognitive processes of human experts and representation of various forms of related knowledge in a domain. This paper describes a cognitive-driven methodology for the development of expert systems based on a hybrid reasoning approach. The methodology incorporates a hybrid case-based reasoning (CBR) framework of techniques which include case memory organisation networks, case indexing and retrieval schemes; and an interactive and incremental style of reasoning. The paper will discuss the design and implementation of an expert system in a problem response help desk environment of a local bank, as an example of a successful application of this methodology.|
|Source Title:||Informatica (Ljubljana)|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 14, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.