NSP: A neuro-symbolic processor

Ernesto Burattini, Massimo De Gregorio, Victor M.G. Ferreira, Felipe M.G. França

Research output: Chapter in Book/Report/Conference proceedingChapter

9 Citations (Scopus)

Abstract

This paper presents an implementation methodology of weighted ANNs whose weights have already been computed. The validation of this technique is made through the synthesis of circuits implementing the behaviour of specialised ANNs compiled from sets of logical clauses describing different logical problems. A Neuro-Symbolic Language (NSL) and its compiler5 have been designed and implemented in order to translate the neural representation of a given logical problem into the corresponding VHDL code, which in turn can set devices such as FPGA (Field Programmable Gate Array). The result of this operation leads to an electronic circuit called NSP (Neuro-Symbolic Processor) that effectively implements a massively parallel interpreter of logic programs.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsJose Mira, Jose R. Alvarez
PublisherSpringer Verlag
Pages9-16
Number of pages8
ISBN (Print)354040211X, 9783540402114
DOIs
Publication statusPublished - 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2687
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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