Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/132725
Title: Modelling human cognition in problem diagnosis: A hybrid case-based reasoning methodology
Authors: Law, Y.F.D. 
Keywords: Cognitive processes
Fault diagnosis
Help desk
Hybrid case-based reasoning
Issue Date: Jun-1997
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)
URI: http://scholarbank.nus.edu.sg/handle/10635/132725
ISSN: 03505596
Appears in Collections:Staff Publications

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