ML Anthology

Abstract Computer Models: Towards a New Method for Theorizing About Adaptive Agents

Stellan Ohlsson, James J. Jewett
ECML-PKDD 1995 pp. 33-52
doi:10.1007/3-540-59286-5_48 /ecmlpkdd/1995/ohlsson1995ecml-abstract/

Abstract

After a brief flourish in the decade 1979–1989, the study of learning has once again stalled. The main method for theorizing about learning-symbolic computer simulation-is plagued by serious difficulties. Abstract computer models , i. e., models that capture the structural features of cognitive processes while ignoring their content, overcome those difficulties. An example of abstract modeling is discussed and a research agenda outlined.

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Cite

Text

Ohlsson and Jewett. "Abstract Computer Models: Towards a New Method for Theorizing About Adaptive Agents." European Conference on Machine Learning, 1995. doi:10.1007/3-540-59286-5_48

Markdown

[Ohlsson and Jewett. "Abstract Computer Models: Towards a New Method for Theorizing About Adaptive Agents." European Conference on Machine Learning, 1995.](https://mlanthology.org/ecmlpkdd/1995/ohlsson1995ecml-abstract/) doi:10.1007/3-540-59286-5_48

BibTeX

@inproceedings{ohlsson1995ecml-abstract,
  title     = {{Abstract Computer Models: Towards a New Method for Theorizing About Adaptive Agents}},
  author    = {Ohlsson, Stellan and Jewett, James J.},
  booktitle = {European Conference on Machine Learning},
  year      = {1995},
  pages     = {33-52},
  doi       = {10.1007/3-540-59286-5_48},
  url       = {https://mlanthology.org/ecmlpkdd/1995/ohlsson1995ecml-abstract/}
}