CHARADE: A Rule System Learning System
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Knowledge Acquisition. Pages 345-346.
Abstract
Designed for an operational prospect, the CHARADE system automatically learns consistent rule systems from a description language, a set of axioms reflecting the language semantics and a set of examples. The technique advocated below is based on a "generate and test" mechanism where the description SPace is explored from the more general to the more specific descriptions. Rules and properties to be obtained are translated into exploration procedure constraints thanks to formalization of the learning set with two Boolean lattices.The underlying theoretical framework allows to both justify the heuristics conventionnaly used similarity based-learning and to introduce global properties to be satisfied by a rule system during its construction.
@inproceedings{ijcai1987p71,
title = {CHARADE: A Rule System Learning System},
author = {Ganascia, Jean-Gabriel},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {345--346},
year = {1987},
note = {Knowledge Acquisition},
url = {https://ijcai.org/proceedings/1987/71},
}
TY - CPAPER TI - CHARADE: A Rule System Learning System AU - Ganascia, Jean-Gabriel T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 345 EP - 346 UR - https://ijcai.org/proceedings/1987/71 ER -Copied
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