ML Anthology

A Schema for an Integrated Learning System

Michael Wollowski
ICML 1989 pp. 87-89
doi:10.1016/B978-1-55860-036-2.50031-X /icml/1989/wollowski1989icml-schema/

Abstract

This paper has two parts. In part one, two dichotomies are introduced. The nature of a dichotomy allows for systematically extending current Machine Learning paradigms. The first dichotomy, empirical data vs. reasoning, pertains to the sources of knowledge; the second one, analysis vs. synthesis, considers strategies of reasoning. Part two features the distinction of knowledge into a priori vs. empirical and concludes with how the dichotomies stand to each other.

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Cite

Text

Wollowski. "A Schema for an Integrated Learning System." International Conference on Machine Learning, 1989. doi:10.1016/B978-1-55860-036-2.50031-X

Markdown

[Wollowski. "A Schema for an Integrated Learning System." International Conference on Machine Learning, 1989.](https://mlanthology.org/icml/1989/wollowski1989icml-schema/) doi:10.1016/B978-1-55860-036-2.50031-X

BibTeX

@inproceedings{wollowski1989icml-schema,
  title     = {{A Schema for an Integrated Learning System}},
  author    = {Wollowski, Michael},
  booktitle = {International Conference on Machine Learning},
  year      = {1989},
  pages     = {87-89},
  doi       = {10.1016/B978-1-55860-036-2.50031-X},
  url       = {https://mlanthology.org/icml/1989/wollowski1989icml-schema/}
}