The bank of Scotland's lending adviser expert system, COMPASS

Alan Sangster*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Faced with a widely diverse range of customers seeking financefor ventures of vaving complexitiesand profiles, and a high level of losses as the result of defaulting borrowers, the needfor an effective means of assessing commercial risk has recently become a major concernfor banks. This paper describes the background to the need for commercial risk analysis within the domain of bank lending. It reports the development and structure of COMPASS, the Bank of Scotland's lending adviser expert system, that has succeeded in capturing and modelling the inherent risk of the Bank of Scotland's lendingprocess. The stages of its development are outlined; the knowledge elicitation process is described; knowledge articulation is examined from the perspective of the expert; the architecture of the system is explained; the consultation procedure is described; and the advantages, by-products, and long-term benefits of COMPASS are summarised.

Original languageEnglish
Title of host publicationProceedings the 11th Conference on Artificial Intelligence for Applications, CAIA 1995
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages24-30
Number of pages7
ISBN (Electronic)0818670703, 9780818670701
DOIs
Publication statusPublished - 1 Jan 1995
Event11th Conference on Artificial Intelligence for Applications, CAIA 1995 - Los Angeles, United States
Duration: 20 Feb 199523 Feb 1995

Publication series

NameProceedings the 11th Conference on Artificial Intelligence for Applications, CAIA 1995

Conference

Conference11th Conference on Artificial Intelligence for Applications, CAIA 1995
CountryUnited States
CityLos Angeles
Period20/02/9523/02/95

Keywords

  • Commercial risk
  • Decision support
  • Expert system
  • Knowledge articulation
  • Knowledge elicitation
  • Modularisation
  • Shell.
  • User resistance

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