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From the Publisher:Written by a recognized authority on the subject. Expert Systems describes the theoretical foundations of expert systems in logic programming, inference techniques, and nonmonotonic logics...discusses various knowledge representation schemes...examines knowledge acquisition, verification, and validation as well as second generation expert systems...furnishes methods for handling uncertainty in expert systems...explains machine learning techniques and their use in alleviating the knowledge acquisition bottleneck...shows how the connectionist, evolutionary, and symbolic paradigms can be combined into hybrid expert systems...and more. Generously illustrated, Expert Systems is a practical reference for computer scientists, programmers, and analysts; software, electrical, electronics, mechanical, manufacturing, and chemical engineers; and mathematicians; and an excellent text for upper-level undergraduate and graduate students taking courses in expert systems, knowledge based systems, or artificial intelligence.