Tore Risch
Abstract
A new system architecture shares certain characteristics with database systems, expert systems, functional programming languages, and spreadsheet systems, but is very different from any of these.
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Index Terms
- A functional approach to integrating database and expert systems
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Reviews
Garry S. Meyer
The authors call their approach to expert systems development active functional. This approach combines elements of relational database, nonprocedural programming, and spreadsheet architectures, and the concepts presented are embodied in the Syntel programming system. The authors describe their ideas within the context of expert decision support for financial professionals working on credit risk (a common concern of bankers and investment analysts). Most expert systems are designed to deal with a large number of relations or rules—each holding a small amount of judgmental knowledge—and relatively little quantitative data. Database systems, on the other hand, typically store vast amounts of information for a relatively small number of relations or tables. The authors balance these requirements in their design and also deal at length with problems such as missing and null values and user control. The user interface they describe emulates both the business and financial forms and the interactive “what-if” approach familiar to financial analysts who use Lotus 1-2-3. The system also provides the ability to override any system-generated output without introducing logical inconsistencies. This well-written paper should be read by anyone considering expert or decision support systems development. It will particularly interest such people in the financial systems area.
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