A computerized /sup 1/H-NMR data interpretation system has been developed using the artificial intelligence approach. An attempt has been made to overcome the difficulties of interpreting higher order spin systems. Proton-containing functional groups are divided into subgroups according to their spectroscopic behaviour and the information they bear. Spin simulation is used to study the effect of substituents on the higher order splitting patterns. Illustrative examples are given.