### Abstract

Rewriting systems are used in various areas of computer science, and especially in lambda-calculus, higher-order logics and functional programming. We show that the unsupervised learning networks can implement parallel rewriting. We show how this general correspondence can be refined in order to perform parallel term rewriting in neural networks, for any given first-order term. We simulate these neural networks in the MATLAB Neural Network Toolbox and present the complete library of functions written in the MATLAB Neural Network Toolbox.

Original language | English |
---|---|

Title of host publication | IJCCI 2009 - Proceedings of the International Joint Conference on Computational Intelligence, Funchal, Madeira, Portugal, October 5-7, 2009 |

Editors | António Dourado Correia, Agostinho C. Rosa, Kurosh Madani |

Publisher | INSTICC Press |

Pages | 452-458 |

Number of pages | 7 |

ISBN (Print) | 9789896740146 |

Publication status | Published - 2009 |

Event | International Joint Conference on Computational Intelligence 2009 - Funchal, Portugal Duration: 5 Oct 2009 → 7 Oct 2009 |

### Conference

Conference | International Joint Conference on Computational Intelligence 2009 |
---|---|

Abbreviated title | IJCCI 2009 |

Country | Portugal |

City | Funchal |

Period | 5/10/09 → 7/10/09 |

### Fingerprint

### Keywords

- Computational Logic in Neural Networks
- Neuro-Symbolic Networks
- Abstract Rewriting
- Parallel Term-Rewriting
- Unsupervised Learning
- Computer Simulation of Neural Networks

### Cite this

*IJCCI 2009 - Proceedings of the International Joint Conference on Computational Intelligence, Funchal, Madeira, Portugal, October 5-7, 2009*(pp. 452-458). INSTICC Press .

}

*IJCCI 2009 - Proceedings of the International Joint Conference on Computational Intelligence, Funchal, Madeira, Portugal, October 5-7, 2009.*INSTICC Press , pp. 452-458, International Joint Conference on Computational Intelligence 2009, Funchal, Portugal, 5/10/09.

**Parallel Rewriting in Neural Networks.** / Komendantskaya, Ekaterina.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Parallel Rewriting in Neural Networks

AU - Komendantskaya, Ekaterina

PY - 2009

Y1 - 2009

N2 - Rewriting systems are used in various areas of computer science, and especially in lambda-calculus, higher-order logics and functional programming. We show that the unsupervised learning networks can implement parallel rewriting. We show how this general correspondence can be refined in order to perform parallel term rewriting in neural networks, for any given first-order term. We simulate these neural networks in the MATLAB Neural Network Toolbox and present the complete library of functions written in the MATLAB Neural Network Toolbox.

AB - Rewriting systems are used in various areas of computer science, and especially in lambda-calculus, higher-order logics and functional programming. We show that the unsupervised learning networks can implement parallel rewriting. We show how this general correspondence can be refined in order to perform parallel term rewriting in neural networks, for any given first-order term. We simulate these neural networks in the MATLAB Neural Network Toolbox and present the complete library of functions written in the MATLAB Neural Network Toolbox.

KW - Computational Logic in Neural Networks

KW - Neuro-Symbolic Networks

KW - Abstract Rewriting

KW - Parallel Term-Rewriting

KW - Unsupervised Learning

KW - Computer Simulation of Neural Networks

M3 - Chapter

SN - 9789896740146

SP - 452

EP - 458

BT - IJCCI 2009 - Proceedings of the International Joint Conference on Computational Intelligence, Funchal, Madeira, Portugal, October 5-7, 2009

A2 - Dourado Correia, António

A2 - Rosa, Agostinho C.

A2 - Madani, Kurosh

PB - INSTICC Press

ER -