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Proceedings Paper

Lee: Loan Evaluation Expert, An Expert System For The Assessment Of Loan Applications
Author(s): Angelo G. Bravos
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Paper Abstract

This paper describes LEE, a knowledge-based system for the assessment of loan applications. LEE (Loan Evaluation Expert) attempts to automate the assessment process and provide expert advice regarding the action that a financial institution should take on a loan application. LEE uses a qualitative reasoning approach and provides the basis for: a) the explicit representation of the various symbolic structures (such as customers, bankers, industries, and various types of loan applications), and dependencies between them, b) the explicit representation of the behavior of these structures in terms of symbolic reasoning, and c) end-user-oriented graphic aids to present to the developers and users the representation and reasoning. LEE is implemented in Loops (Lisp Object Oriented Programming System) running on a Xerox 1100 series lisp machine. Loops is a multi-paradigm knowledge programming language developed at Xerox PARC and implemented in and as an extension of Interlisp-D.

Paper Details

Date Published: 11 May 1987
PDF: 8 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940613
Show Author Affiliations
Angelo G. Bravos, Xerox Artificial Intelligence Systems (United States)

Published in SPIE Proceedings Vol. 0786:
Applications of Artificial Intelligence V
John F. Gilmore, Editor(s)

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