Transitive choices by a simple, fully connected, backpropagation neural network: implications for the comparative study of transitive inference.

@article{Lillo2001TransitiveCB,
  title={Transitive choices by a simple, fully connected, backpropagation neural network: implications for the comparative study of transitive inference.},
  author={Carlo De Lillo and Dario Floreano and Francesco Antinucci},
  journal={Animal Cognition},
  year={2001},
  volume={4},
  pages={61-68}
}
In search of the minimal requirements for transitive reasoning, a simple neural network was trained and tested on the non-verbal version of the conventional "five-term-series task" – a paradigm used with human adults, children and a variety of non-human species. The transitive performance of the network was analogous in several aspects to that reported for children and animals. The three effects usually associated with transitive choices i.e. "symbolic distance", "lexical marking" and "end… CONTINUE READING