Submit a paper to the 4th Workshop on Advances In Argumentation In Artificial Intelligence

Call for papers

We invite submissions of the latest research results concerning applications and theory of computational argumentation to the 4th Workshop on Advances In Argumentation In Artificial Intelligence (AI3 2020) that is a track of the 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020).

Important dates

  • Paper submission deadline: September 20th, 2020. NEW: October 2nd, 2020.
  • Notification to authors: October 16th, 2020.  NEW: October 23th, 2020.
  • Camera ready submission: October 30th, 2020.
  • Video and slides of the presentation: November 10th, 2020.

Topics

Topics include, but are not limited to:

  • Explainable AI with Argumentation
  • Persuasion systems
  • Formal, semi-formal and informal models for argumentation
  • Properties and evaluation of formal models of argumentation
  • Computational properties of argumentation
  • Traditional and ranking-based semantics
  • Instantiations of abstract argumentation frameworks
  • Implementation of argumentation systems
  • Relationships amongst different argumentation frameworks
  • Philosophical theories of argumentation
  • Argument mining
  • Argumentation in agent and multi-agent systems
  • Dialogue based on argumentation
  • Strategies in argumentation
  • Decision making based on argumentation
  • Argumentation-based negotiation
  • Argumentation, trust and reputation
  • Argumentation for coordination and coalition formation
  • Argumentation and other Artificial Intelligence techniques
  • Argumentation and game theory
  • Argumentation and probability
  • Argumentation and fuzzy-logic
  • Argumentation and narrative
  • Argumentation and computational linguistics
  • Argumentation and human-computer interaction
  • Reasoning about action and time with argumentation
  • Tools for supporting argumentation
  • Practical applications of formal models of argumentation
  • Systems for learning through argument
  • Argument-based machine learning
  • Validation and evaluation of applications of argumentation

Submission

The workshop invites two types of submissions: full papers, possibly already submitted to other conferences or journals, and short papers, which are particularly suitable for presenting work in progress, software prototypes, extended abstracts of doctoral theses, or general overviews of research projects. Authors are invited to submit their papers in English of up to 15 single spaced pages for full papers. Shorter works must not exceed 5 pages. All paper submissions will be done electronically, via the EasyChair system at the link: https://easychair.org/conferences/?conf=aixia2020 by selecting the track Advances In Argumentation In Artificial Intelligence.

All papers will be peer reviewed and final copies of papers for inclusion to the conference proceedings will be published on CEUR as “CEUR Workshop Proceedings AI*IA Series” (Scopus indexed). Manuscripts should be formatted using the Springer LNCS style (formatting instructions are available at http://www.springer.de/comp/lncs/authors.html).

Post-proceedings of selected and revised papers

Authors of selected papers, accepted to the workshop, will be invited to submit a revised and extended version of their work to appear in volume 12414 of the Springer’s Lecture Notes in Artificial Intelligence series (LNCS/LNAI). A selection of the best papers, accepted for the presentation at the workshop, will be invited to submit an extended version for publication on “Intelligenza Artificiale”, the International Journal of the Italian Association for Artificial Intelligence, edited by IOS Press and indexed by Thomson Reuters’ “Emerging Sources Citation Index” and Scopus by Elsevier.

Format of the video presentations

Authors of accepted papers at the workshops will be requested to provide a video recorded presentation of their work. Presentations will be available to all members of the association. Videos must have a length between 5 and 8 minutes. The video should be in MP4 format (1280×720). More details will be published here.

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