- M E Elyashberg: Vernadsky Institute for Geochemistry and Analytical Chemistry, USSR Academy of Science, 19 ul. Kosygina, 117975, Moscow V-334, USSR.
A brief survey is given of the most recent publications on development of artificial-intelligence systems for molecular spectral analysis. A new approach to solution of the problems of qualitative molecular spectral analysis is based on an applied logical calculus developed by the authors for fuzzy predicates. It is suggested that spectral-structural knowledge should be specified in the language of fuzzy predicates, and mechanical theorem-proving procedures used for solving qualitative problems of spectral analysis, the initial information being considered as a set of axioms. System-oriented matters are given consideration. The formalism suggested is a basis for the development of an artificial-intelligence dialogue system capable of solving various problems in molecular spectral analysis while maintaining a dialogue with a research worker using a professionally-restricted natural language.