A neural implementation of multi-adjoint logic programming

@article{Medina2004ANI,
  title={A neural implementation of multi-adjoint logic programming},
  author={Jes{\'u}s Medina and Enrique M{\'e}rida Casermeiro and Manuel Ojeda-Aciego},
  journal={J. Applied Logic},
  year={2004},
  volume={2},
  pages={301-324}
}
We present a neural net based implementation of propositional [0, 1]-valued multiadjoint logic programming. The implementation needs some preprocessing of the initial program to transform it in a homogeneous program; then, transformation rules carry programs into neural networks, where truth-values of rules relate to output of neurons, truth-values of facts represent input, and network functions are determined by a set of general operators; the output of the net being the values of… CONTINUE READING

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
5 Extracted Citations
22 Extracted References
Similar Papers

Similar Papers

Loading similar papers…