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Expert systems, also known as knowledge-based systems, emerged during the late 1960s and early 1970s as a way to replicate human expertise in specific domains. Pioneers such as Herbert A. Simon and Allen Newell laid the groundwork for the development of expert systems, while the introduction of MYCIN in the early 1970s demonstrated the potential of AI to diagnose bacterial infections and recommend suitable antibiotics. The 1980s saw a surge in the development and deployment of expert systems, with companies like IBM investing heavily in AI research. Expert systems have since become an integral part of the AI landscape, with their emergence, evolution, and impact on the field of artificial intelligence continuing to be explored.
