Expert Systems -The AI That Existed Before AI Was Cool
Expert systems are computer programs designed to mimic the decision-making abilities of human experts in specific domains. Unlike modern AI, which learns from vast datasets, expert systems rely on manually entered knowledge and are explainable. They remain relevant today in fields where explainability is crucial, such as medical diagnosis and legal advice.
- ▪Expert systems were built between the 1970s and 1990s and are different from modern AI tools.
- ▪They consist of a knowledge base, an inference engine, and a user interface for interaction.
- ▪Famous examples include MYCIN for medical diagnosis and Deep Blue, which defeated a world chess champion.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3919224) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Anushka Shinde Posted on May 21 Expert Systems -The AI That Existed Before AI Was Cool #systems #ai #productivity I First Heard About This in Class Expert systems came up twice in my curriculum.Once in Management Information Systems.Once in Artificial Intelligence. Both times I thought "this sounds incredibly intelligent and incredibly complicated." Turns out it's both. But also something any curious developer can understand and even build. Let me explain everything.
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