PROSPECTOR

Terms from Artificial Intelligence: humans at the heart of algorithms

PROSPECTOR was an expert system developed at Stanford in the late 1970s to evaluate geological sites for potential mineral deposits. In 1984 it was instrumental in discovering a molybdenum deposit worth 100 million dollars.

PROSPECTOR was based on a semantic network and used a combination of mostly forward chaining and some backward chaining. It adopted a form of depth first search guided by the probabilities of different hypotheses and used Bayes Theorem to deal with uncertainty. The dialogue component and explanation component used mixed control.

Used on pages 42, 423