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AI Applications in Geology: A Case Study with Explorer

Mulvenna, Maurice, Woodham, C and Gregg, J.B. (1991) AI Applications in Geology: A Case Study with Explorer. In: AI and Cognitive Science ’90 (Part of the series Workshops in Computing). (Eds: McTear, MF and Creaney, Norman), Springer-Verlag, pp. 109-119. ISBN 3-540-19653-6 [Book section]

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URL: http://link.springer.com/chapter/10.1007%2F978-1-4471-3542-5_7

DOI: 10.1007/978-1-4471-3542-5_7

Abstract

The modern exploration geologist deals with large amounts of data. This paper describes a system, EXPLORER, which was designed to help manage data collected in gold exploration in Northern Ireland The system uses geologists heuristics of exploration and may be expanded to search for base-metals and precious-metals in regions of glaciated terrain. EXPLORER generates reports on each square km of the licence. It utilises a forward-chaining inference strategy, where the rules are fired from licence data held in a Prolog database, to produce the reports. The data includes information on geology, geomorphology, geophysics; and empirical data is analysed for both target and pathfinder elements.

Item Type:Book section
Keywords:Geological exploration, expert system, artificial intelligence, Prolog, geomorphology
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:34568
Deposited By: Professor Maurice Mulvenna
Deposited On:03 May 2016 10:09
Last Modified:17 Oct 2017 16:23

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