Discusses working implementations of artificial intelligence systems for chemical laboratory applications. They include expert systems for liquid chromatography, spectral analysis, instrument control of a totally computerized triple-quadrupole mass spectrometer, and the determination of the mineral constituents of a rock sample given the powder…

Discusses how computational errors arise in analysis of data and how they can be minimized. Shows that all computations are subject to roundoff/truncation errors and how such errors are propagated and influence the stability and condition of a reaction. Applications to procedures used in analytical chemistry are addressed. (JN)