Abstract
Artificial intelligence and statistical expert systems have lately been on the agenda of almost every conference of statisticians. Statistics, where there are no artificial barriers between symbolic and algorithmic knowledge processing methods, might be the field to start developing a general theory of knowledge representation and of what could be termed meaning-cognition, two of the still missing pieces in the puzzle of artificial intelligence. The knowledge based applications are slowly finding their way to statistical product lines and knowledge processing architectures are penetrating the walls of traditional data processing environments.
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