Document Type

Article

Disciplines

1.2 COMPUTER AND INFORMATION SCIENCE

Publication Details

https://www.sciencedirect.com/science/article/pii/S2665963823000842

Lucas Rizzo, ArgFrame: A multi-layer, web, argument-based framework for quantitative reasoning, Software Impacts, Volume 17, 2023,

https://doi.org/10.1016/j.simpa.2023.100547

Abstract

Multiple systems have been proposed to perform computational argumentation activities, but there is a lack of options for dealing with quantitative inferences. This multi-layer, web, argument-based framework has been proposed as a tool to perform automated reasoning with numerical data. It is able to use boolean logic for the creation of if-then rules and attacking rules. In turn, these rules/arguments can be activated or not by some input data, have their attacks solved (following some Dung or rank-based semantics), and finally aggregated in different fashions in order to produce a prediction (a number). The framework is implemented in PHP for the back-end. A JavaScript interface is provided for creating arguments, attacks among arguments, and performing case-by-case analyses.

DOI

https://doi.org/10.1016/j.simpa.2023.100547

Funder

This research received no external funding

Creative Commons License

Creative Commons Attribution-Share Alike 4.0 International License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.

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