An Experimental Comparison of Symbolic and Connectionist Learning Algorithms

Mooney, Raymond J.; Shavlik, Jude W.; Towell, Geoffrey G.; Gove, Alan

An Experimental Comparison of Symbolic and Connectionist Learning Algorithms

Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, Alan Gove

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Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Machine Learning. Pages 775-779.

Abstract

Despite the fact that many symbolic and connectionist (neural net) learning algorithms are addressing the same problem of learning from classified examples, very little is known regarding their comparative strengths and weaknesses. This paper presents the results of experiments comparing the ID3 symbolic learning algorithm with the perceptron and back-propagation connectionist learning algorithms on several large real-world data sets. The results show that ID3 and perceptron run significantly faster than does backpropagation, both during learning and during classification of novel examples. However, the probability of correctly classifying new examples is about the same for the three systems. On noisy data sets there is some indication that backpropagation classifies more accurately.

Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, and Alan Gove. 1989. An Experimental Comparison of Symbolic and Connectionist Learning Algorithms. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89. IJCAI, 775–779. https://ijcai.org/proceedings/1989/124

@inproceedings{ijcai1989p124,
  title     = {An Experimental Comparison of Symbolic and Connectionist Learning Algorithms},
  author    = {Mooney, Raymond J. and Shavlik, Jude W. and Towell, Geoffrey G. and Gove, Alan},
  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     = {775--779},
  year      = {1989},
  month     = {8},
  note      = {Machine Learning},
  url       = {https://ijcai.org/proceedings/1989/124},
}

TY  - CPAPER
TI  - An Experimental Comparison of Symbolic and Connectionist Learning Algorithms
AU  - Mooney, Raymond J.
AU  - Shavlik, Jude W.
AU  - Towell, Geoffrey G.
AU  - Gove, Alan
T2  - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1989
SP  - 775
EP  - 779
UR  - https://ijcai.org/proceedings/1989/124
ER  -