On the Combination of Argumentation Solvers into Parallel Portfolios

Mauro Vallati; Federico Cerutti; Massimiliano Giacomin

doi:10.1007%2F978-3-319-63004-5_25

On the Combination of Argumentation Solvers into Parallel Portfolios

Mauro Vallati, Federico Cerutti, Massimiliano Giacomin

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

5 Citations (Scopus)

Abstract

In the light of the increasing interest in efficient algorithms for solving abstract argumentation problems and the pervasive availability of multicore machines, a natural research issue is to combine existing argumentation solvers into parallel portfolios. In this work, we introduce six methodologies for the automatic configuration of parallel portfolios of argumentation solvers for enumerating the preferred extensions of a given framework. In particular, four methodologies aim at combining solvers in static portfolios, while two methodologies are designed for the dynamic configuration of parallel portfolios. Our empirical results demonstrate that the configuration of parallel portfolios is a fruitful way for exploiting multicore machines, and that the presented approaches outperform the state of the art of parallel argumentation solvers.

Original language	English
Title of host publication	AI 2017: Advances in Artificial Intelligence
Subtitle of host publication	30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings
Editors	Wei Peng, Damminda Alahakoon, Xiaodong Li
Publisher	Springer Verlag
Pages	315-327
Number of pages	13
Edition	1st
ISBN (Electronic)	9783319630045
ISBN (Print)	9783319630038
DOIs	https://doi.org/10.1007%2F978-3-319-63004-5_25
Publication status	Published - 9 Jul 2017
Event	30th Australasian Joint Conference on Artificial Intelligence - Melbourne, Australia Duration: 19 Aug 2017 → 20 Aug 2017 Conference number: 30 https://link.springer.com/conference/ausai (Link to Conference Website )

Publication series

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer Verlag
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	30th Australasian Joint Conference on Artificial Intelligence
Abbreviated title	AI'17
Country/Territory	Australia
City	Melbourne
Period	19/08/17 → 20/08/17
Internet address	https://link.springer.com/conference/ausai (Link to Conference Website )

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1007%2F978-3-319-63004-5_25Licence: Unspecified

http://eprints.hud.ac.uk/id/eprint/32004/Licence: Unspecified

Cite this

Vallati, M., Cerutti, F., & Giacomin, M. (2017). On the Combination of Argumentation Solvers into Parallel Portfolios. In W. Peng, D. Alahakoon, & X. Li (Eds.), AI 2017: Advances in Artificial Intelligence: 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings (1st ed., pp. 315-327). (Lecture Notes in Artificial Intelligence). Springer Verlag. https://doi.org/10.1007%2F978-3-319-63004-5_25

Vallati, Mauro ; Cerutti, Federico ; Giacomin, Massimiliano. / On the Combination of Argumentation Solvers into Parallel Portfolios. AI 2017: Advances in Artificial Intelligence: 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings. editor / Wei Peng ; Damminda Alahakoon ; Xiaodong Li. 1st. ed. Springer Verlag, 2017. pp. 315-327 (Lecture Notes in Artificial Intelligence).

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abstract = "In the light of the increasing interest in efficient algorithms for solving abstract argumentation problems and the pervasive availability of multicore machines, a natural research issue is to combine existing argumentation solvers into parallel portfolios. In this work, we introduce six methodologies for the automatic configuration of parallel portfolios of argumentation solvers for enumerating the preferred extensions of a given framework. In particular, four methodologies aim at combining solvers in static portfolios, while two methodologies are designed for the dynamic configuration of parallel portfolios. Our empirical results demonstrate that the configuration of parallel portfolios is a fruitful way for exploiting multicore machines, and that the presented approaches outperform the state of the art of parallel argumentation solvers.",

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author = "Mauro Vallati and Federico Cerutti and Massimiliano Giacomin",

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Vallati, M, Cerutti, F & Giacomin, M 2017, On the Combination of Argumentation Solvers into Parallel Portfolios. in W Peng, D Alahakoon & X Li (eds), AI 2017: Advances in Artificial Intelligence: 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings. 1st edn, Lecture Notes in Artificial Intelligence, Springer Verlag, pp. 315-327, 30th Australasian Joint Conference on Artificial Intelligence, Melbourne, Victoria, Australia, 19/08/17. https://doi.org/10.1007%2F978-3-319-63004-5_25

On the Combination of Argumentation Solvers into Parallel Portfolios. / Vallati, Mauro; Cerutti, Federico; Giacomin, Massimiliano.
AI 2017: Advances in Artificial Intelligence: 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings. ed. / Wei Peng; Damminda Alahakoon; Xiaodong Li. 1st. ed. Springer Verlag, 2017. p. 315-327 (Lecture Notes in Artificial Intelligence).

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

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N2 - In the light of the increasing interest in efficient algorithms for solving abstract argumentation problems and the pervasive availability of multicore machines, a natural research issue is to combine existing argumentation solvers into parallel portfolios. In this work, we introduce six methodologies for the automatic configuration of parallel portfolios of argumentation solvers for enumerating the preferred extensions of a given framework. In particular, four methodologies aim at combining solvers in static portfolios, while two methodologies are designed for the dynamic configuration of parallel portfolios. Our empirical results demonstrate that the configuration of parallel portfolios is a fruitful way for exploiting multicore machines, and that the presented approaches outperform the state of the art of parallel argumentation solvers.

AB - In the light of the increasing interest in efficient algorithms for solving abstract argumentation problems and the pervasive availability of multicore machines, a natural research issue is to combine existing argumentation solvers into parallel portfolios. In this work, we introduce six methodologies for the automatic configuration of parallel portfolios of argumentation solvers for enumerating the preferred extensions of a given framework. In particular, four methodologies aim at combining solvers in static portfolios, while two methodologies are designed for the dynamic configuration of parallel portfolios. Our empirical results demonstrate that the configuration of parallel portfolios is a fruitful way for exploiting multicore machines, and that the presented approaches outperform the state of the art of parallel argumentation solvers.

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Vallati M, Cerutti F, Giacomin M. On the Combination of Argumentation Solvers into Parallel Portfolios. In Peng W, Alahakoon D, Li X, editors, AI 2017: Advances in Artificial Intelligence: 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings. 1st ed. Springer Verlag. 2017. p. 315-327. (Lecture Notes in Artificial Intelligence). Epub 2017 Jul 9. doi: 10.1007%2F978-3-319-63004-5_25

On the Combination of Argumentation Solvers into Parallel Portfolios

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