We show that system architectures based on artificial intelligence (AI) techniques can be applied to the automation of seismic signal interpretation. In particular, <it>blackboard systems</it> appear to provide flexible and efficient ways to model the strategy a human expert adopts for the analysis. We also present the design of the Seismic Network Analyser, (SNA), a blackboard system applied to the interpretation of signals from a local seismometric network. Results, examples and performances of a prototype implementation of SNA are reported and extensively discussed.
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Chiaruttini et al. (1989) studied this question.
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