Argumentation neural networks

A D Garcez, D Gabbay, L C Lamb, A d'Avila

Research output: Contribution to journalConference paper

2 Citations (Scopus)

Abstract

While neural networks have been successfully used in a number of machine learning applications, logical languages have been the standard for the representation of legal and argumentative reasoning. In this paper, we present a new hybrid model of computation that allows for the deduction and learning of argumentative reasoning. We propose a Neural Argumentation Algorithm to translate argumentation networks into standard neural networks, and prove correspondence between the semantics of the two networks.
Original languageEnglish
Pages (from-to)606 - 612
Number of pages7
JournalLecture Notes in Computer Science
Volume3316
Publication statusPublished - 2004
EventICONIP '04 - Calcutta
Duration: 1 Jan 2004 → …

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