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Before this latest wave of AI where neural nets became the hottest algorithm of choice, an approach to machine learning that uses logic and constructs similar to the way that humans reason through problems called Symbolic Systems were actually the system of choice. Popularized in the late 1980s and early 1990s expert systems became the AI system of choice for organizations investing in cognitive technology. However, they proved to be overly complex and brittle and declined in popularity.
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms symbolic systems, expert systems, and fuzzy logic.