: computer software that attempts to mimic the reasoning of a human specialist
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Generally, in the in-between status of expert systems and modern-era generative AI, there was a great deal of attention on machine learning and devising machine intelligence.—Lance Eliot, Forbes.com, 28 July 2025 This makes sense in that generative AI provides fluency for interacting with users that conventional expert systems typically lack.—Lance Eliot, Forbes.com, 27 May 2025 This approach also improves efficiency, promotes seamless scalability and supports progressive fine-tuning of different expert system components for specific problems.—Daniel Keller, Forbes.com, 7 May 2025 As can be seen, AI agents have evolved from simple expert systems to autonomous solutions for not only healthcare but across business, manufacturing and everyday life.—Matvii Diadkov, Forbes, 18 Mar. 2025 In the age of artificial intelligence and expert systems, the committee relied on computers and numbers.—Nathan Canilao, The Mercury News, 18 Feb. 2025 This was a major motivator of expert systems in the 1990s.—Jim Euchner, Forbes, 27 Dec. 2024 Even in the early 1990s when colleagues and I were working for early-stage expert systems software companies, the notion that machines could mimic human intelligence was an audacious one.—Douglas B. Laney, Forbes, 17 Dec. 2024 The days of expert systems are often now denigrated as a dead-end and thus some insist that the symbolic world is kaput.—Lance Eliot, Forbes, 6 Dec. 2024
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