Expert Systems and Probabilistic Network Models (Monographs in Computer science)

Expert Systems and Probabilistic Network Models (Monographs in Computer science)

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Expert Systems and Probabilistic Network Models (Monographs in Computer Science)

Are you interested in learning more about expert systems and probabilistic network models in computer science? Look no further than this comprehensive monograph, which delves into the intricacies of these advanced technologies.

Expert systems are AI systems that mimic the decision-making abilities of a human expert in a specific domain. These systems use knowledge bases and inference engines to provide expert-level advice and recommendations. Probabilistic network models, on the other hand, are used to represent and reason about uncertainty in a system. By combining these two technologies, researchers and practitioners can create powerful tools for solving complex problems in various domains.

This monograph covers the theoretical foundations of expert systems and probabilistic network models, as well as practical applications in areas such as healthcare, finance, and cybersecurity. It also explores cutting-edge research in the field, highlighting the latest advancements and future directions.

Whether you are a seasoned professional looking to expand your knowledge or a student interested in exploring the cutting-edge of computer science, this monograph is a must-read. Get your copy today and unlock the potential of expert systems and probabilistic network models in your work.
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