Why Do They Vote That?
Silaghi, Marius Calin (Florida Institute of Technology) | Roussev, Roussi (Florida Institute of Technology) | Alfurhood, Badria (Florida Institute of Technology)
The mining of justifications to be recommended to visitors of deliberation for a used in decision making by constituents raises specific challenges. Graph-based representations can improve our understanding of the problem and enable reasoning with the available data. The addressed technical problem consists in recommending sets of texts containing comprehensive arguments supporting or opposing poll alternatives, as mined from submissions of opinions in electronic deliberative polls. A graphical framework is proposed to enable the development of techniques for identification of relevant/encompassing arguments in debates following the Alternative-Based Information System (ABIS) model, a competitor of the IBIS model. Bipolar argumentation frameworks are extended with votes, enhance relations and argument coalitions, proposing the BAPDF family of frameworks.
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