Citation

BibTex format

@inproceedings{Rago:2017:10.1007/978-3-319-69131-2_22,
author = {Rago, A and Toni, F},
doi = {10.1007/978-3-319-69131-2_22},
pages = {369--385},
publisher = {Springer},
title = {Quantitative Argumentation Debates with Votes for Opinion Polling},
url = {http://dx.doi.org/10.1007/978-3-319-69131-2_22},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Opinion polls are used in a variety of settings to assess the opinions of a population, but they mostly conceal the reasoning behind these opinions. Argumentation, as understood in AI, can be used to evaluate opinions in dialectical exchanges, transparently articulating the reasoning behind the opinions. We give a method integrating argumentation within opinion polling to empower voters to add new statements that render their opinions in the polls individually rational while at the same time justifying them. We then show how these poll results can be amalgamated to give a collectively rational set of voters in an argumentation framework. Our method relies upon Quantitative Argumentation Debate for Voting (QuAD-V) frameworks, which extend QuAD frameworks (a form of bipolar argumentation frameworks in which arguments have an intrinsic strength) with votes expressing individuals’ opinions on arguments.
AU - Rago,A
AU - Toni,F
DO - 10.1007/978-3-319-69131-2_22
EP - 385
PB - Springer
PY - 2017///
SN - 0302-9743
SP - 369
TI - Quantitative Argumentation Debates with Votes for Opinion Polling
UR - http://dx.doi.org/10.1007/978-3-319-69131-2_22
UR - http://hdl.handle.net/10044/1/56996
ER -

Contact us

Artificial Intelligence Network
South Kensington Campus
Imperial College London
SW7 2AZ

To reach the elected speaker of the network, Dr Rossella Arcucci, please contact:

ai-speaker@imperial.ac.uk

To reach the network manager, Diana O'Malley - including to join the network - please contact:

ai-net-manager@imperial.ac.uk