Implicit Learning of Common Sense for Reasoning
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 939-945.
Abstract
We consider the problem of how enormous databases of common sense knowledge can be both learned and utilized in reasoning in a computationally efficient manner. We propose that this is possible if the learning only occurs implicitly, i.e., without generating an explicit representation. We show that it is feasible to invoke such implicitly learned knowledge in essentially all natural tractable reasoning problems. This implicit learning also turns out to be provably robust to occasional counterexamples, as appropriate for such common sense knowledge.
@inproceedings{ijcai2013p144,
title = {Implicit Learning of Common Sense for Reasoning},
author = {Juba, Brendan},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {939--945},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/144},
}
TY - CPAPER TI - Implicit Learning of Common Sense for Reasoning AU - Juba, Brendan T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 939 EP - 945 UR - https://ijcai.org/proceedings/2013/144 ER -Copied
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