ML Anthology

An Analysis of Genetic-Based Pattern Tracking and Cognitive-Based Component Tracking Models of Adaptation

Elaine Pettit, Kathleen M. Swigger
AAAI 1983 pp. 327-332
/aaai/1983/pettit1983aaai-analysis/

Abstract

The objective of this study was a comparison of the effectiveness in adapting to an environment of populations of structures undergoing modification by four different models: 1) Holland's (2) genetic operator model; 2) a cognitive (statistical predictive) model; 3) a random point mutation model; and 4) a control (non-altered) model.

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Text

Pettit and Swigger. "An Analysis of Genetic-Based Pattern Tracking and Cognitive-Based Component Tracking Models of Adaptation." AAAI Conference on Artificial Intelligence, 1983.

Markdown

[Pettit and Swigger. "An Analysis of Genetic-Based Pattern Tracking and Cognitive-Based Component Tracking Models of Adaptation." AAAI Conference on Artificial Intelligence, 1983.](https://mlanthology.org/aaai/1983/pettit1983aaai-analysis/)

BibTeX

@inproceedings{pettit1983aaai-analysis,
  title     = {{An Analysis of Genetic-Based Pattern Tracking and Cognitive-Based Component Tracking Models of Adaptation}},
  author    = {Pettit, Elaine and Swigger, Kathleen M.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1983},
  pages     = {327-332},
  url       = {https://mlanthology.org/aaai/1983/pettit1983aaai-analysis/}
}