Modelling the Persuadee in Asymmetric Argumentation Dialogues for Persuasion

Computational models of argument could play a valuable role in persuasion technologies for behaviour change (e.g. persuading a user to eat a more healthy diet, or to drink less, or to take more exercise, or to study more conscientiously, etc). For this, the system (the persuader) could present arguments to convince the user (the persuadee). In this paper, we consider asymmetric dialogues where only the system presents arguments, and the system maintains a model of the user to determine the best choice of arguments to present (including counterarguments to key arguments believed to be held by the user). The focus of the paper is on the user model, including how we update it as the dialogue progresses, and how we use it to make optimal choices for dialogue moves.

[1]  Matthias Thimm,et al.  Strategic Argumentation in Multi-Agent Systems , 2014, KI - Künstliche Intelligenz.

[2]  Paul-Amaury Matt,et al.  A Game-Theoretic Measure of Argument Strength for Abstract Argumentation , 2008, JELIA.

[3]  Francesca Toni,et al.  Mechanism Design for Argumentation-based Persuasion , 2012, COMMA.

[4]  Iyad Rahwan,et al.  Pareto Optimality in Abstract Argumentation , 2008, AAAI.

[5]  Claudette Cayrol,et al.  A Reasoning Model Based on the Production of Acceptable Arguments , 2002, Annals of Mathematics and Artificial Intelligence.

[6]  Iyad Rahwan,et al.  Mechanism design for abstract argumentation , 2008, AAMAS.

[7]  Nava Tintarev,et al.  Formal Arguments, Preferences, and Natural Language Interfaces to Humans: an Empirical Evaluation , 2014, ECAI.

[8]  Henry Prakken,et al.  Coherence and Flexibility in Dialogue Games for Argumentation , 2005, J. Log. Comput..

[9]  Iyad Rahwan,et al.  Behavioral Experiments for Assessing the Abstract Argumentation Semantics of Reinstatement , 2010, Cogn. Sci..

[10]  Matthias Thimm,et al.  A Probabilistic Semantics for abstract Argumentation , 2012, ECAI.

[11]  Anthony Hunter.  Some Foundations for Probabilistic Abstract Argumentation , 2012, COMMA.

[12]  J. Paris.  The Uncertain Reasoner's Companion: A Mathematical Perspective , 1994 .

[13]  B. J. Fogg,et al.  Persuasive computers: perspectives and research directions , 1998, CHI.

[14]  Phan Minh Dung,et al.  On the Acceptability of Arguments and its Fundamental Role in Nonmonotonic Reasoning, Logic Programming and n-Person Games , 1995, Artif. Intell..

[15]  Henry Prakken,et al.  Heuristics in Argumentation: A Game Theory Investigation , 2008, Comma.

[16]  Pietro Baroni,et al.  On Rationality Conditions for Epistemic Probabilities in Abstract Argumentation , 2014, COMMA.

[17]  Anthony Hunter,et al.  A probabilistic approach to modelling uncertain logical arguments , 2013, Int. J. Approx. Reason..

[18]  Henry Prakken,et al.  DOI: 10.1017/S000000000000000 Printed in the United Kingdom Formal systems for persuasion dialogue , 2022 .

[19]  Martin Caminada,et al.  Grounded Semantics as Persuasion Dialogue , 2012, COMMA.

[20]  Henry Prakken,et al.  Heuristics in Argumentation: A Game-Theoretical Investigation , 2008, COMMA 2008.

[21]  Peter McBurney,et al.  Opponent Modelling in Persuasion Dialogues , 2013, IJCAI.

[22]  Anthony Hunter,et al.  Probabilistic Argumentation with Incomplete Information , 2014, ECAI.

[23]  Nir Oren,et al.  Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Opponent Models with Uncertainty for Strategic Argumentation , 2022 .

[24]  Francesca Toni,et al.  Assumption-Based Argumentation Dialogues , 2011, IJCAI.

[25]  Nir Oren,et al.  Group Persuasion through Uncertain Audience Modelling , 2012, COMMA.

[26]  Nir Oren,et al.  Probabilistic Argumentation Frameworks , 2011, TAFA.

[27]  Nir Oren,et al.  Arguing Using Opponent Models , 2009, ArgMAS.

[28]  Sarit Kraus,et al.  Providing Arguments in Discussions Based on the Prediction of Human Argumentative Behavior , 2015, AAAI.

[29]  Anthony Hunter,et al.  Probabilistic Argument Graphs for Argumentation Lotteries , 2014, COMMA.

[30]  Anthony Hunter.  Opportunities for Argument-Centric Persuasion in Behaviour Change , 2014, JELIA.