Representation and Use of Explicit Justifications for Knowledge Base Refinements
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Learning and Acquisition. Pages 673-679.
Abstract
We discuss the representation and use of justification structures as an a id to knowledge base refinement . We s how how justifica· lions can be used by a system to generate explanations- for its o wn use- of potential causes of observed failures. We discuss specific information that is usefully included in these justifications to allow th e system to isolate potential faulty supporting beliefs for its rules and to effect repa1rs . This research is part of a larger effort to develop a Learning Apprentice System (LAS) that partially automates initial construction of a knowledge base from first -principle domain knowledge as well as knowledge base refinement during routine use. A simple implementation has been constructed that demonstrates the feasi bility of building such a system.
@inproceedings{ijcai1985p131,
title = {Representation and Use of Explicit Justifications for Knowledge Base Refinements},
author = {Smith, Reid G. and Winston, Howard A. and Mitchell, Tom M. and Buchanan, Bruce G.},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {673--679},
year = {1985},
note = {Learning and Acquisition},
url = {https://ijcai.org/proceedings/1985/131},
}
TY - CPAPER TI - Representation and Use of Explicit Justifications for Knowledge Base Refinements AU - Smith, Reid G. AU - Winston, Howard A. AU - Mitchell, Tom M. AU - Buchanan, Bruce G. T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 673 EP - 679 UR - https://ijcai.org/proceedings/1985/131 ER -Copied
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