Perturbation: A Means for Guiding Generalization

Kibler, Dennis F.; Porter, Bruce W.

Perturbation: A Means for Guiding Generalization

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Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Learning and Knowledge Acquisition. Pages 415-417.

Abstract

Learning problem solving from examples suffers from three problems. First, there is a strong dependency on the order of the presented examples. Second, each example has its own peculiarities which nust be 011ercane. Third, the size of the generalization space can be huge, even if the instance language is snall. By adding perturbation operators to the concept tree each of these problems can be alleviated. This is demonstrated in a system which learns, through interaction with a teacher, to solve simultaneous linear equations.

Dennis F. Kibler, and Bruce W. Porter. 1983. Perturbation: A Means for Guiding Generalization. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83. IJCAI, 415–417. https://ijcai.org/proceedings/1983/100

@inproceedings{ijcai1983p100,
  title     = {Perturbation: A Means for Guiding Generalization},
  author    = {Kibler, Dennis F. and Porter, Bruce W.},
  booktitle = {Proceedings of the Eighth International Joint Conference on
               Artificial Intelligence, {IJCAI-83}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Alan Bundy},
  pages     = {415--417},
  year      = {1983},
  note      = {Learning and Knowledge Acquisition},
  url       = {https://ijcai.org/proceedings/1983/100},
}

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TI  - Perturbation: A Means for Guiding Generalization
AU  - Kibler, Dennis F.
AU  - Porter, Bruce W.
T2  - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1983
SP  - 415
EP  - 417
UR  - https://ijcai.org/proceedings/1983/100
ER  -