Paper Info
Title
Quantitative Argumentation Debates With Votes For Opinion Polling
Abstract
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.
Year
DOI
Venue
2017
10.1007/978-3-319-69131-2_22
PRINCIPLES AND PRACTICE OF MULTI-AGENT SYSTEMS (PRIMA 2017)
Field
DocType
Volume
Argumentation framework,Data mining,Population,Voting,Computer science,Argumentation theory,Knowledge management,Rational set,Polling,Epistemology,Dialectic,Instrumental and intrinsic value
Conference
10621
ISSN
Citations 
PageRank 
0302-9743
4
0.40
References 
Authors
11
2
Name
Order
Citations
PageRank
Antonio Rago1347.11
Francesca Toni234327.02