Expert Systems in Document Delivery: The Feasibility of Learning Capabilities

To solve the problem of document delivery in Mexico, the authors developed SEADO (Expert System for Document Supply). SEADO consists of three main components: a knowledge base, an expert system shell, and the database. The knowledge base was built through fault tree analysis and through structured flowcharts. The shell was developed with EXSYS, a generalized expert system development package. The database was based on information sources of various kinds: printed material, local databases, public databases, etc. To evaluate the impact of different learning capabilities, the authors decided to test alternative ways of achieving a predictor for the system to perform in a dynamic and adaptive way. Learning by a weighted-based scheme was compared with a probability-based scheme.published or submitted for publicatio