Expert system

In <a href="/facts/Artificial_intelligence/lJGauQwX">artificial intelligence</a> (AI), an expert system is a computer system emulating the decision-making ability of a human <a href="/facts/Expert/W1BtG3h1">expert</a>.
Expert systems are designed to solve complex problems by <a href="/facts/Automated_reasoning_system/V6c6TToD">reasoning</a> through bodies of knowledge, represented mainly as <a href="/facts/Rule-based_system/xmlMNr7j">if–then rules</a> rather than through conventional <a href="/facts/Procedural_programming/7r5xz7kx">procedural programming</a> 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 <a href="/facts/Artificial_neural_network/6V1jMlkx">artificial neural networks</a>.
An expert system is divided into two subsystems: 1) a <a href="/facts/Knowledge_base/zKXdqQjH">knowledge base</a>, which represents facts and rules; and 2) an <a href="/facts/Inference_engine/oLlNX14Q">inference engine</a>, which applies the rules to the known facts to deduce new facts, and can include explaining and debugging abilities.

Expert system open-in-new

Expert system