Artificial Intelligence (AI) has been a fertile ground for innovation, and one of its resounding success stories has been the development of expert systems. These systems have evolved over the years and have helped pioneer numerous advances in various fields. Let's delve into the characteristics of expert systems and take a journey through their evolution.
DENDRAL, was developed to identify unknown chemical compounds from their mass spectrographs. This system, originally designed for analyzing Martian soil, demonstrated the feasibility of encoding domain-specific expert knowledge.
MYCIN, developed for investigating infectious blood diseases. Apart from its domain, MYCIN laid the foundation for the design of future knowledge-based systems. It consisted of over 400 rules, eventually used for training dialogue for medical residents at Stanford.
Another Stanford University brainchild from the 1970s, PROSPECTOR, was engineered for mineral exploration, providing a valuable example of the use of inference networks.
No comments yet. Be the first to comment!