Learning Novel Domains Through Curiosity and Conjecture
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Machine Learning. Pages 669-673.
Abstract
This paper describes DIDO, a system we have developed to carry out exploratory learning of unfamiliar domains without assistance from an external teacher. The program incorporates novel approaches to experience generation and representation generation. The experience generator uses a heuristic based on Shannon's uncertainty function to fmd informative examples. The representation generator makes conjectures on the basis of small amounts of evidence and retracts them if they prove to be wrong or useless. A number of experiments are described which demonstrate that the system can distribute its learning resources to steadily acquire a good representation of the whole of a domain, and that the system can readily acquire both disjunctive and conjunctive concepts even in the presence of noise.
@inproceedings{ijcai1989p107,
title = {Learning Novel Domains Through Curiosity and Conjecture},
author = {Scott, Paul D. and Markovitch, Shaul},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {669--673},
year = {1989},
month = {8},
note = {Machine Learning},
url = {https://ijcai.org/proceedings/1989/107},
}
TY - CPAPER TI - Learning Novel Domains Through Curiosity and Conjecture AU - Scott, Paul D. AU - Markovitch, Shaul T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 669 EP - 673 UR - https://ijcai.org/proceedings/1989/107 ER -Copied
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