Towards Artificial Argumentation

The field of computational models of argument is emerging as an important aspect of artificial intelligence research. The reason for this is based on the recognition that if we are to develop robust intelligent systems, then it is imperative that they can handle incomplete and inconsistent information in a way that somehow emulates the way humans tackle such a complex task. And one of the key ways that humans do this is to use argumentation either internally, by evaluating arguments and counterarguments‚ or externally, by for instance entering into a discussion or debate where arguments are exchanged. As we report in this review, recent developments in the field are leading to technology for artificial argumentation, in the legal, medical, and e-government domains, and interesting tools for argument mining, for debating technologies, and for argumentation solvers are emerging.

[1]  Henry Prakken,et al.  Law and logic: A review from an argumentation perspective , 2015, Artif. Intell..

[2]  Floris Bex,et al.  Implementing the argument web , 2013, Commun. ACM.

[3]  Iryna Gurevych,et al.  Identifying Argumentative Discourse Structures in Persuasive Essays , 2014, EMNLP.

[4]  J. Fox,et al.  Evaluation of computer support for prescribing (CAPSULE) using simulated cases , 1997, BMJ.

[5]  Paolo Torroni,et al.  Argumentation Mining , 2016, ACM Trans. Internet Techn..

[6]  John L. Pollock,et al.  How to Reason Defeasibly , 1992, Artif. Intell..

[7]  Stefan Woltran,et al.  Methods for solving reasoning problems in abstract argumentation – A survey , 2015, Artif. Intell..

[8]  B. McLaren,et al.  Educational Technologies for Teaching Argumentation Skills , 2012 .

[9]  Reedchris,et al.  Towards an argument interchange format , 2006 .

[10]  Marie-Francine Moens,et al.  Argumentation mining , 2011, Artificial Intelligence and Law.

[11]  Trevor J. M. Bench-Capon,et al.  A factor-based definition of precedential constraint , 2012, Artificial Intelligence and Law.

[12]  Chris Reed,et al.  Argumentation Schemes , 2008 .

[13]  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..

[14]  Guillermo Ricardo Simari,et al.  The Added Value of Argumentation , 2013 .

[15]  Anthony Hunter,et al.  Aggregating evidence about the positive and negative effects of treatments , 2012, Artif. Intell. Medicine.

[16]  Hannes Strass,et al.  Summary Report of The First International Competition on Computational Models of Argumentation , 2016, AI Mag..

[17]  Chris Reed,et al.  Araucaria: Software for Argument Analysis, Diagramming and Representation , 2004, Int. J. Artif. Intell. Tools.

[18]  Trevor J. M. Bench-Capon,et al.  Argumentation in artificial intelligence , 2007, Artif. Intell..

[19]  Bart Selman,et al.  Satisfiability Solvers , 2008, Handbook of Knowledge Representation.

[20]  Nikos I. Karacapilidis,et al.  The Zeno argumentation framework , 1997, ICAIL '97.

[21]  Dimitris Papadias,et al.  Computer supported argumentation and collaborative decision making: the HERMES system , 2001, Inf. Syst..

[22]  Tudor Groza,et al.  A review of argumentation for the Social Semantic Web , 2013, Semantic Web.

[23]  Henry Prakken,et al.  Introduction to structured argumentation , 2014, Argument Comput..

[24]  Noam Slonim,et al.  A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics , 2014, ArgMining@ACL.