The DIPMETER ADVISOR: Interpretation of Geologic Signals
Proceedings of the Seventh International Joint Conference on Artificial Intelligence. Expert Systems. Pages 846-848.
Abstract
The DIPMETER ADVISOR program is an application of AI and Expert System techniques to the problem of inferring subsurface geologic structure. It synthesizes techniques developed in_two previous lines of work, rule-based systems and s1gnal understanding programs. This report on the prototype system has lour main concerns. First, we describe the task and characterize the various bodies of knowledge required . Second, we describe the design of the system we have built and the level of performance it has currently reached . Third, we use this task as a case study and examine it In the light of other, related efforts, showing how particular characteristics of this problem have dictated a number of design decisions. We consider the character of the interpretation hypotheses generated and the sources of the expertise involved. Finally, we discuss future directions of this early effort. We describe the problem of "shallow knowledge" in expert systems and explain why this task appears to provide an attractive selling lor exploring the use of deeper models.
@inproceedings{ijcai1981p161,
title = {The DIPMETER ADVISOR: Interpretation of Geologic Signals},
author = {Davis, Randall and Austin, Howard and Carlbom, Ingrid and Frawley, Bud and Pruchnik, Paul and Sneiderman, Rich and Gilreath, J. A.},
booktitle = {Proceedings of the Seventh International Joint Conference on
Artificial Intelligence, {IJCAI-81}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Roger C. Schank},
pages = {846--848},
year = {1981},
month = {8},
note = {Expert Systems},
url = {https://ijcai.org/proceedings/1981/161},
}
TY - CPAPER TI - The DIPMETER ADVISOR: Interpretation of Geologic Signals AU - Davis, Randall AU - Austin, Howard AU - Carlbom, Ingrid AU - Frawley, Bud AU - Pruchnik, Paul AU - Sneiderman, Rich AU - Gilreath, J. A. T2 - Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81 PB - International Joint Conferences on Artificial Intelligence PY - 1981 SP - 846 EP - 848 UR - https://ijcai.org/proceedings/1981/161 ER -Copied
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