Argumentation neural networks

Artur D'Avila Garcez; Dov Gabbay; Luis C. Lamb

doi:10.1007/978-3-540-30499-9_93

Argumentation neural networks

Artur D'Avila Garcez
, Dov Gabbay
, Luis C. Lamb

City, University of London
King's College London
Universidade Federal do Rio Grande do Sul

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

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 language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Nikhil R. Pal, Srimanta Pal, Nikola Kasabov, Rajani K. Mudi, Swapan K. Parui
Publisher	Springer Verlag
Pages	606-612
Number of pages	7
ISBN (Print)	3540239316, 9783540239314
DOIs	https://doi.org/10.1007/978-3-540-30499-9_93
State	Published - 2004
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3316
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/978-3-540-30499-9_93

Cite this

D'Avila Garcez, A., Gabbay, D., & Lamb, L. C. (2004). Argumentation neural networks. In N. R. Pal, S. Pal, N. Kasabov, R. K. Mudi, & S. K. Parui (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 606-612). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3316). Springer Verlag. https://doi.org/10.1007/978-3-540-30499-9_93

D'Avila Garcez, Artur ; Gabbay, Dov ; Lamb, Luis C. / Argumentation neural networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Nikhil R. Pal ; Srimanta Pal ; Nikola Kasabov ; Rajani K. Mudi ; Swapan K. Parui. Springer Verlag, 2004. pp. 606-612 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

author = "\{D'Avila Garcez\}, Artur and Dov Gabbay and Lamb, \{Luis C.\}",

year = "2004",

doi = "10.1007/978-3-540-30499-9\_93",

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D'Avila Garcez, A, Gabbay, D & Lamb, LC 2004, Argumentation neural networks. in NR Pal, S Pal, N Kasabov, RK Mudi & SK Parui (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3316, Springer Verlag, pp. 606-612. https://doi.org/10.1007/978-3-540-30499-9_93

Argumentation neural networks. / D'Avila Garcez, Artur; Gabbay, Dov; Lamb, Luis C.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Nikhil R. Pal; Srimanta Pal; Nikola Kasabov; Rajani K. Mudi; Swapan K. Parui. Springer Verlag, 2004. p. 606-612 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3316).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

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AU - Lamb, Luis C.

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AB - 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.

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Pal, Nikhil R.

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A2 - Mudi, Rajani K.

A2 - Parui, Swapan K.

PB - Springer Verlag

ER -

D'Avila Garcez A, Gabbay D, Lamb LC. Argumentation neural networks. In Pal NR, Pal S, Kasabov N, Mudi RK, Parui SK, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 606-612. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-30499-9_93

Argumentation neural networks

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