This study aims to design a small, rule-based, expert system, which helps a user to estimate emplacement mechanisms of volcaniclastic rocks. To develop this system, an expert shell
Intelligent Developer (Hyperpress Publishing Corp.) and a Macintosh computer (Apple Computer Inc.) were used and a system prototype
Volcaniclast was made.
Volcaniclast is composed of an inference engine, a rule base, a fact base, and a man-machine interface module. The rule base has 76 IF..THEN.. rules and the fact base has 11 facts. The interface module enables friendly, graphical, dialog-based environment for consultation.Although many unreal sub-answers are proposed,
Volcaniclast gives a true answer with the highest certainty factor, when a typical set of field data are inputted. For this reason,
Volcaniclast can at leastbe used for undergraduate students to learn fundamental knowledge in field volcanology.
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