Abstract
The purpose of this paper is to stress the need to examine Al-based models and techniques in dealing with qualitative knowledge, information, and expertise in geostatistics. A model of artificially intelligent geostatistics is proposed as a general framework. The model focuses on the “Geostatistician,” an abstraction of the “collective” knowledge and intelligence of the geostatisticians, be they theoreticians and/or practitioners. Dynamic aspects of the model are examined in the context of an explicit knowledge formalism, integrating geostatistical knowledge, symbolic non-algorithmic techniques for knowledge-information representation and inference, and standard numerical data processing. Two implementations of related computer systems are given together with case studies.
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Dimitrakopoulos, R. Artificially intelligent geostatistics: A framework accommodating qualitative knowledge-information. Math Geol 25, 261–279 (1993). https://doi.org/10.1007/BF00901419
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DOI: https://doi.org/10.1007/BF00901419