RED: INTEGRATING GENERIC TASKS TO IDENTIFY RED-CELL ANTIBODIES.
Conference Paper
Overview
Identity
Additional Document Info
View All
Overview
abstract
A description is given of Red, an expert system which interprets data for red-cell antibody identification. Red integrates four generic problem-solving tasks: classification, hypothesis matching, abductive assembly and criticism of explanatory hypothesis, and knowledge-directed information retrieval.