[agents] ArgML22 Call for Papers

[Stefan Sarkadi]

*ArgML22 Call for Papers*

1st International Workshop on Argumentation and Machine Learning @COMMA 2022

*Important Dates*

   - When: 13 September 2022
   - Where: Cardiff, Wales, UK
   - Submission Deadline: 23:59 (BST) 8 July 2022
   - Notification Due: 8 August 2022



*Details*

The significant strides made by subsymbolic machine learning (ML) methods
in recent times has led some to adopt the perspective that symbolic
methods, or “good old-fashioned AI”, are becomming less relevant. However,
there is a growing interest in synergistic AI systems that incorporate both
subsymbolic and symbolic processes. Argumentation, as a symbolic model for
effective human reasoning, offers many theoretical and practical
opportunities for developing effective synergy. For instance, Argumentation
Theory can substantially enhance the application of ML methods to various
domains – such as discourse analysis, law, forensic analysis, to name just
a few – by constraining the derivation of a solution to follow a
justifiable and auditable process, in accordance with expert domain
knowledge. The desire to build explainable AI (XAI) systems, that are
tractable to human understanding and interaction, also presents an
intuitive and fertile ground for argumentation-based systems to have a
significant role. In turn, the challenges of establishing effective
argumentation-based systems – such as (but not limited to) costly reliance
on expert judgement, noise intolerance and brittle models, knowledge
acquisition – may be significantly ameliorated by successfully embracing
data-driven ML methods. Embracing ML methods presents an opportunity to
draw from their effective use of computational resources, with the
potential to vastly increase the scalability of argumentation-based methods
in the age of big data. This workshop solicits contributions to meet these
aims.



*List of Topics*

   - Machine Learning-driven Reasoning Algorithms
   - Neural-symbolic Learning
   - Explainable AI
   - Machine Learning and Argumentation for Agents and Multi-agent Systems
   - Learning Symbolic Abstractions from Unstructured Data
   - Machine Learning Applications in Argumentation
   - Knowledge-driven Decision Making
   - Architectures that Combine Data-driven Techniques and Formal Reasoning
   - Expressive Power of Learning Representations
   - Machine Learning for Efficient Knowledge Inference
   - Learning Causal Models
   - Machine Learning and Argumentation in Robotics
   - Applications of Argumentation and Machine Learning in Law, Medicine,
   Finance, Policy Security, etc.



*Submission Instructions*

   - Full papers: 12 pages + references
   - Short/Position papers: 6 pages + references
   - Submissions are NOT anonymous. The names and affiliations of the
   authors should be stated in the manuscript.
   - All papers must be original and not simultaneously submitted to
   another journal or conference.
   - All papers should be formatted following the IOS Press style
   <https://www.iospress.com/book-article-instructions> and submitted
   through the EasyChair link accessed via the submission button at the bottom
   of the page.
   - At least one of the authors will be required to register and attend
   the COMMA conference <https://comma22.cs.cf.ac.uk/registration.html> to
   present the paper in order for it to be included in the workshop
   proceedings.

*Publication*

ArgML papers will be published in CEUR-WS proceedings.

*Contact*

Jack Mumford

email: jack[dot]mumford[at]liverpool.ac.uk
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