Stefano Bistarelli, Francesco Faloci, Francesco Santini, Carlo Taticchi
451 - 452
The issue of handling dynamics is a central problem in Argumentation Theory. In order to understand how dynamics work, we extended the ConArg suite with Rob, a tool that is able to display Abstract Argumentation Frameworks and their corresponding sets of extensions, in a way suitable to understand what happens to the semantics when a modification to the graph occurs. In particular, Rob allows to inspect for a particular framework all the corresponding sets of extensions, and for every extension all the frameworks which admit it for some semantics.
In this paper we present design concepts for a chatbot than can be used for argument acquisition. We call the acquisition of arguments by means of a chatbot argument harvesting. The chatbot asks the user for his or her arguments on a topic of interest. It can also be used to harvest counterargument, values, preferences, as well as information about the user like his/her personal circumstances. The harvested arguments and other attributes have various applications from the instantiation of argument graphs to the development of computational persuasion systems.
Wolfgang Faber, Mauro Vallati, Federico Cerutti, Massimiliano Giacomin
459 - 460
This paper briefly describes the solver ASPrMin, which enumerates preferred extensions and scored first in the Extension Enumeration problem—the only one implemented—of the Preferred Semantics Track of the Second International Competition on Computational Models of Argumentation, ICCMA17.
In this paper, we present Test Your Argument, part of a suite of argument technology piloted in conjunction with BBC programming. Test Your Argument offers users the opportunity to interact with real arguments taken from the BBC Radio 4 programme Moral Maze. Users are guided through different aspects of strengthening and critiquing an argument as well as considering both sides of the issue under discussion. Since December 2017, Test Your Argument has had over 10,000 visitors.
In this demonstration we will showcase Jebediah, a social bot based on Google's Dialogflow. Jebediah is a front-end to dialog-game execution platforms that enable their seamless integration into popular social networks such as Facebook or Twitter. Users can interact with the social bot using natural language while Jebediah translates the user input to a format that can be interpreted by a dialog game execution platform and vice versa.
D-BAS  is an open-source web tool for dialog-based online argumentation among non-expert human users. We present DABASCO , a tool that utilizes D-BAS as a source of structured argumentation data and that allows to automatically translate D-BAS data into instances of abstract argumentation frameworks, abstract dialectical frameworks, and the ASPIC+ framework, thus offering the fully-automated generation of benchmark data from real discussions.
Brian Plüss, Mennatallah El-Assady, Fabian Sperrle, Valentin Gold, Katarzyna Budzynska, Annette Hautli-Janisz, Chris Reed
471 - 472
We demonstrate the first prototype of the ADD-up visual analytics system. The Augmented Deliberative Democracy (ADD-up) project aims to enhance public deliberations by providing argument analytics in real time. The system will ultimately take a stenographic feed of a public deliberation meeting, automatically extract the arguments therein and project visual analytics intended to improve the deliberative quality of the event.
Mark Snaith, Harm op den Akker, Tessa Beinema, Merijn Bruijnes, Álvaro Fides-Valero, Gerwin Huizing, Reshmashree Kantharaju, Randy Klaassen, Kostas Konsolakis, Dennis Reidsma, Marcel Weusthof
473 - 474
We demonstrate here the first Technical Demonstrator for Council of Coaches a project that is aiming to deploy a platform for virtual health coaching, and will incorporate computational models of argument and dialogue.