Recent rapid progress in machine learning (ML), particularly so‐called 'deep learning', has
led to a resurgence in interest in explainability of artificial intelligence (AI) systems, reviving …

Assuring the quality of an expert system is critical. A poor quality system may make costly
errors resulting in considerable damage to the user or owner of the system, such as financial …

При подготовке третьего издания книги Введение в экспертные системы автор
старался прежде всего учесть интересы и пожелания читателей четырех основных …

This is a very odd—but good—book. Its scope is almost as broad as that of any general text
on Artificial Intelligence (AI), but it is not an overview of issues and research in AI. Instead …

Thinking in terms of facts and rules is perhaps one of the most common ways of approaching
problem definition and problem solving both in everyday life and under more formal …

Knowledge acquisition for expert systems is a purely practical problem to be solved by
experiment, independent of philosophy. However the experiments one chooses to conduct …

Abstract The Multics Intrusion Detection and Alerting System (MIDAS) is an expert system
which provides real-time intrusion and misuse detection for the National Computer Security …

35.2 Research Objectives The overall goals of the ONCOCIN project are 1. to demonstrate
that a rule-based consultation system with explanation capabilities can be usefully applied …

With the advent of Semantic Web languages such as OWL (Web Ontology Language), the
expressive Description Logic [special characters omitted] is exposed to a wider audience of …

We describe a computer program that implements an algorithm to verify the consistency and
completeness of knowledge bases built for the Lockheed expert system (LES) shell. The …