Expert systems are computer programs that emulate the reasoning and decision-making of human experts in various domains. They are widely used in applications such as medical diagnosis, engineering design, legal analysis, and business management. Expert systems use knowledge representation techniques to store and manipulate the knowledge of experts, and inference methods to draw conclusions from the knowledge and the facts of a specific problem.
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The fourth edition of Expert Systems: Principles and Programming by Joseph C. Giarratano and Gary Riley teaches readers the core theoretical topics in the field of expert systems, with discussions of knowledge representation, inference methods, reasoning under uncertainty and inexact reasoning. The book also covers the design of expert systems using CLIPS (C Language Integrated Production System), a popular expert system shell that allows users to create and run expert systems on various platforms. The book includes many examples and exercises that illustrate the concepts and techniques of expert system development.
The book is intended for undergraduate and graduate students in computer science, engineering, and related disciplines, as well as for professionals who want to learn about expert systems or use them in their work. The book assumes some familiarity with programming languages and data structures, but does not require any prior knowledge of artificial intelligence or expert systems. The accompanying CD-ROM contains CLIPS, CLIPS reference manual, and the C source code for the examples in the book.
Expert Systems: Principles and Programming, Fourth Edition is a comprehensive and authoritative introduction to the theory and practice of expert systems. It provides a solid foundation for anyone who wants to understand or develop expert systems for various domains and applications.
Expert systems have found their way into most areas of knowledge work. They can provide solutions to complex and ill-structured problems that require human expertise and judgment. Some of the common applications of expert systems are:
- Diagnosis and troubleshooting of devices and systems: Expert systems can help diagnose faults and malfunctions in various devices and systems, such as medical equipment, automobiles, computers, aircraft, and power plants. They can also suggest corrective actions and preventive measures to avoid future problems. Examples of such expert systems are MYCIN (for diagnosing infectious diseases), CADUCEUS (for diagnosing internal medicine problems), DART (for diagnosing and repairing faults in digital circuits), and R1/XCON (for configuring computer systems).
- Planning and scheduling: Expert systems can help plan and schedule tasks and resources for complex and dynamic situations, such as project management, manufacturing, logistics, transportation, and military operations. They can also monitor the execution of plans and adjust them according to changing conditions. Examples of such expert systems are STRIPS (for planning actions in a simulated world), OPIS (for scheduling oil pipeline operations), OZONE (for scheduling air traffic control), and ASPEN (for planning space shuttle missions).
- Design and engineering: Expert systems can help design and engineer products, processes, and systems that meet certain specifications and constraints. They can also evaluate the feasibility, quality, and performance of designs and suggest improvements. Examples of such expert systems are PROSPECTOR (for mineral exploration), DENDRAL (for organic chemistry synthesis), AQUINAS (for civil engineering design), and CADET (for mechanical engineering design).
- Decision support and management: Expert systems can help support and improve decision making and management in various domains, such as finance, business, law, medicine, education, and environment. They can provide advice, recommendations, explanations, and justifications for decisions based on relevant data, rules, models, and preferences. Examples of such expert systems are LEXIS/NEXIS (for legal information retrieval), SMARTRISK (for financial risk analysis), PERSUADER (for negotiation support), and INTERNIST (for medical diagnosis and treatment).
Expert systems have many advantages over conventional computer programs or human experts. They can store and manipulate large amounts of knowledge efficiently and consistently. They can reason with incomplete, uncertain, or conflicting information. They can explain their reasoning process and justify their conclusions. They can learn from new data or feedback. They can communicate with users using natural language or graphical interfaces. They can also cooperate with other expert systems or human experts to solve complex problems.
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