Interactive Concept-Learning and Constructive Induction by Analogy
Abstract
The available concept-learners only partially fulfill the needs imposed by the learning apprentice generation of learners. We present a novel approach to interactive concept-learning and constructive induction that better fits the requirements imposed by the learning apprentice paradigm. The approach is incorporated in the system Clint-Cia, which integrates several user-friendly features into one working whole: it is interactive, generates examples, shifts its bias, identifies concepts in the limit, copes with indirect relevance, recovers from errors, performs constructive induction and invents new concepts by analogy to previously learned ones.
Cite
Text
De Raedt and Bruynooghe. "Interactive Concept-Learning and Constructive Induction by Analogy." Machine Learning, 1992. doi:10.1007/BF00992861Markdown
[De Raedt and Bruynooghe. "Interactive Concept-Learning and Constructive Induction by Analogy." Machine Learning, 1992.](https://mlanthology.org/mlj/1992/raedt1992mlj-interactive/) doi:10.1007/BF00992861BibTeX
@article{raedt1992mlj-interactive,
title = {{Interactive Concept-Learning and Constructive Induction by Analogy}},
author = {De Raedt, Luc and Bruynooghe, Maurice},
journal = {Machine Learning},
year = {1992},
pages = {107-150},
doi = {10.1007/BF00992861},
volume = {8},
url = {https://mlanthology.org/mlj/1992/raedt1992mlj-interactive/}
}