Abstract
SUMMARY We show that system architectures based on artificial intelligence (AI) techniques can be applied to the automation of seismic signal interpretation. In particular, blackboard systems 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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