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"Expert systems" as a book category covers works that explain, design, build, and apply computer programs that emulate human expert decision-making. These books range from accessible overviews and historical accounts of early AI systems to technical textbooks and practical guides on knowledge representation, rule-based and frame-based architectures, inference engines, uncertainty handling, and system development lifecycles. They often include case studies from medicine, engineering, finance and diagnostics, implementation examples and tool walkthroughs, evaluation methods and maintenance strategies, and discussions of how expert systems integrate with modern AI techniques. Target readers include students, software engineers, knowledge engineers, and domain specialists seeking to capture and automate expertise, with titles varying from conceptual introductions to advanced research monographs and hands-on tutorials.

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