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Article type: Research Article
Authors: Lovellette, Elliea; * | Hexmoor, Henryb
Affiliations: [a] Department of Computer Science, Southern Illinois University, Edwardsville, IL, USA | [b] Department of Computer Science, Southern Illinois University, Carbondale, IL, USA
Correspondence: [*] Corresponding author: Ellie Lovellette, Department of Computer Science, Southern Illinois University, Edwardsville, IL, USA. Tel.: +1 618 650 3417; Fax: +1 618 650 3234; E-mail:elovell@siue.edu
Abstract: This work introduces a novel approach to display and arbitration of machine to machine abstract argumentation for Internet of Things devices, which does not require human intervention. The proposed model is a hybrid between weighted Dung style argumentation frameworks and competitive facility placement Voronoi games. It can accommodate weights of arguments and attack relations to depict weighted argumentation frameworks, as well as a set of premises for dynamic argumentation frameworks. Included is a visualization tool for the strength of attacks and strength of arguments and a discussion on computational challenges of the paradigm.
Keywords: Machine to machine abstract argumentation, Voronoi game, Internet of Things
DOI: 10.3233/MGS-160256
Journal: Multiagent and Grid Systems, vol. 12, no. 4, pp. 303-318, 2016
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