Summary
After discussing the current status of the autonomation in signal interpretation from seismic networks, a new approach, based on artificial-intelligence tecniques, is proposed. The knowledge of the human expert analyst is examined, with emphasis on its objects, strategies and reasoning techniques. It is argued that knowledge-based systems (or expert systems) provide the most appropriate tools for designing an automatic system, modelled on the expert behaviour.
Riassunto
Dopo una discussione dello stato attuale dell'automazione dell'interpretazione dei segnali di una rete sismica, si propone una nuova impostazione del problema sulla base di tecniche di intelligenza artificiale. Si esamina la conoscenza dell'analista esperto con particolare riguardo ai suoi oggetti, strategie e tecniche di ragionamento. Se ne ricava che i sistemi basati sulla conoscenza (o sistemi esperti) forniscono gli strumenti più adeguati alla progettazione di un sistema automatico modellato sul comportamento dell'esperto.
Резюме
После обсуждения современного состояния автоматизации интерпретации сигналов от сейсмической системы датчиков, предлагается новый подход, основанный на технике искусственного интеллекта. Исследуются знания аналитического зксперта, обращая особое внимание на обьекты, стратегию и технику рассуждений. Доказывается, что системы, основанные на знании (или системы зкспертов), представляют наиболее адекватный инструмент для конструирования автоматической системы, моделирующей поведение эксперта.
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Chiaruttini, C., Roberto, V. Automation of seismic network signal interpolation: an artificial intelligence approach. Il Nuovo Cimento C 11, 327–338 (1988). https://doi.org/10.1007/BF02507917
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DOI: https://doi.org/10.1007/BF02507917