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Prospector II: Towards a knowledge base for mineral deposits

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/aisig.1989.47309openalex-snapshot
Prospector II
inferredcites →https://doi.org/10.1126/science.217.4563.927openalex-snapshot
Recognition of a Hidden Mineral Deposit by an Artificial Intelligence Program
inferredcites →https://doi.org/10.3133/1416openalex-snapshot
Development of uranium exploration models for the Prospector consultant system: final report covering the period September 22, 1978 to September 21, 1979
inferredcites →https://doi.org/10.3133/b1786openalex-snapshot
Significant metalliferous lode deposits and placer districts of Alaska
inferredcites →https://doi.org/10.3133/ofr88284openalex-snapshot
Geology and mineral resources of the White Mountains National Recreation Area, east-central Alaska

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9780470050118.ecse146openalex-snapshot
Expert Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-26050-7_1-1openalex-snapshot
Artificial Intelligence in the Earth Sciences
inferred← citeshttps://doi.org/10.1007/978-3-030-85040-1_1openalex-snapshot
Artificial Intelligence in the Earth Sciences
inferred← citeshttps://doi.org/10.1007/978-3-319-57315-1_16openalex-snapshot
P
inferred← citeshttps://doi.org/10.1007/bf02257574openalex-snapshot
Mineral-resource assessment-perspectives on the past and present and speculation on future directions
inferred← citeshttps://doi.org/10.1016/j.cageo.2004.05.001openalex-snapshot
The art and science of mapping: computing geological categories from field data
inferred← citeshttps://doi.org/10.1016/j.cageo.2007.08.010openalex-snapshot
MRQP: A windows-based mixed-language program for mineral resource quantitative prediction
inferred← citeshttps://doi.org/10.1016/j.cageo.2013.04.001openalex-snapshot
SeTES: A self-teaching expert system for the analysis, design, and prediction of gas production from unconventional gas resources
inferred← citeshttps://doi.org/10.1016/s0957-4174(00)00031-2openalex-snapshot
Representing, adapting and reasoning with uncertain, imprecise and vague information
inferred← citeshttps://doi.org/10.1016/s1874-2734(09)70013-0openalex-snapshot
References
inferred← citeshttps://doi.org/10.1023/a:1012536823294openalex-snapshot
Quantitative Analysis of Mineral Resources for Strategic Planning: Implications for Australian Geological Surveys
inferred← citeshttps://doi.org/10.1109/geoinformatics.2015.7378620openalex-snapshot
Design of mineral deposit prediction expert system based on GIS and answer set programming
inferred← citeshttps://doi.org/10.1130/g52970.1openalex-snapshot
A novel data-knowledge dual-driven model coupling artificial intelligence with a mineral systems approach for mineral prospectivity mapping
inferred← citeshttps://doi.org/10.17491/jgsi/2003/610206openalex-snapshot
Prototype Development of MODELER: A Knowledge Based System for Identification of Iron Ore Deposit Types
inferred← citeshttps://doi.org/10.2118/149485-msopenalex-snapshot
SeTES: A Self-Teaching Expert System for the Analysis, Design, and Prediction of Gas Production From Unconventional Gas Resources
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