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Everything about Expert system

Computer system emulating human expert

In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural programming code. Expert systems were among the first truly successful forms of AI software. They were created in the 1970s and then proliferated in the 1980s, being then widely regarded as the future of AI before the advent of successful artificial neural networks. An expert system is divided into two subsystems: 1) a knowledge base, which represents facts and rules; and 2) an inference engine, which applies the rules to the known facts to deduce new facts, and can include explaining and debugging abilities. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Expert systemA 5-minute orientation
  2. Skim a recent paper: The Nature-Based Solutions Case-Based System: A hybrid expert systemInfluential work since 2022
  3. Pick up a classic book: Artificial Intelligence Applications and InnovationsThe most-reprinted book on the subject
  4. Read the landmark paper: Validating Expert System PerformanceCited 244 times
  5. Go sideways: Inference engineA closely related topic
  6. Go sideways: Knowledge representation and reasoningA closely related topic

📖 Definitions

Noun A type of artificially intelligent software system that stores expertise concerning some subject matter in a knowledge base and attempts to answer questions or solve problems in a manner which simulates the thought processes of a human expert.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics