Conditional Answers in Question-Answering Systems
Proceedings of the Sixth International Joint Conference on Artificial Intelligence. .
Abstract
In many cases a deductive question-answering system cannot find complete proofs to answer questions requ~r~ng deductive support. In some cases information needed to complete proofs is missing from the knowledge base. In other cases processing limits may have been reached before proofs could be completed. Rather than disregarding such partial proofs as most systems do, the DADM system displays them to users and identifies subproblems that remain unresolved. Answers emanating from partial proofs include rema~n~ng subproblems as "conditions" which must be true for the answers to be valid.
@inproceedings{ijcai1979p105,
title = {Conditional Answers in Question-Answering Systems},
author = {Klahr, Philip},
booktitle = {Proceedings of the Sixth International Joint Conference on
Artificial Intelligence, {IJCAI-79}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Bruce G. Buchanan},
year = {1979},
month = {8},
url = {https://ijcai.org/proceedings/1979/105},
}
TY - CPAPER TI - Conditional Answers in Question-Answering Systems AU - Klahr, Philip T2 - Proceedings of the Sixth International Joint Conference on Artificial Intelligence, IJCAI-79 PB - International Joint Conferences on Artificial Intelligence PY - 1979 UR - https://ijcai.org/proceedings/1979/105 ER -Copied
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