<div dir="ltr"><span id="gmail-docs-internal-guid-5f7a4711-7fff-a1f9-5cee-cfaf9c2eda8f" style="color:rgb(0,0,0)"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Fully funded PhD thesis in argumentation theory</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Place: CRIL CNRS Université d’Artois, Lens (France)</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Starting date: September / October 2023</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Duration : 3 years</span></p><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">ANR project AGGREEY </span><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">(An argumentation-based platform for e-democracy</span><span style="font-size:11pt;font-family:Arial;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">) studies e-democracy and aims at proposing tools based on AI and argumentation theory in order to improve the quality of public debate.</span></p><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">As online argumentation systems become increasingly prevalent, the volume of arguments and options within these systems continues to grow. This presents a significant challenge for human analysts, who struggle to manually track changes, understand the various arguments and their relationships, and make sense of the vast amount of information.</span></p><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">To address this challenge, AGGREEY proposes to use artificial intelligence and argumentation theory to study these systems. Among the numerous pieces of information to be identified and processed, this thesis will aim to focus on the problem of votes on arguments. Currently, there is no approach in the literature that can handle votes in an elaborated way. The existing proposal is to calculate the ratio of positive and negative votes and use this as a single number. The goal is to explore more ways to represent and take into account the votes and understand the nuances of the voting process.</span></p><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Also, we want to take into account the votes of the users in order to maximise social welfare. In other words, we want to develop methods that start from the users’ votes and transfer this information to the extensions, i.e. the sets of acceptable arguments. Thus, based on the votes of a user, the system estimates her/his preferred extension. The goal is to develop an algorithm that selects the extension that maximises the satisfaction of all voters. </span></p><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Project website: </span><a href="https://aggreey.github.io/" style="text-decoration-line:none"><span style="font-size:11pt;font-family:Arial;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap">https://aggreey.github.io/</span></a></p><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">To apply, send your CV and your grades to <a href="mailto:jerome.delobelle@u-paris.fr">jerome.delobelle@u-paris.fr</a>, <a href="mailto:konieczny@cril.fr">konieczny@cril.fr</a> and <a href="mailto:vesic@cril.fr">vesic@cril.fr</a>. </span></p><br></span><br class="gmail-Apple-interchange-newline"></div>