[PlanetKR] Second Call for Papers: Workshop on Argumentation and Machine Learning @COMMA 2022
Kuhlmann, Isabelle
isabelle.kuhlmann at fernuni-hagen.de
Mon Jun 27 10:39:45 UTC 2022
Dear all,
We invite you to participate in the 1st International Workshop on Argumentation and Machine Learning (ArgML), which will take place on September 13, prior to the COMMMA 2022 conference.
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Overview:
- Website: https://argml22.csc.liv.ac.uk/index.html
- When: September 13, 2022
- Where: Cardiff, Wales
- Submission deadline: July 8, 2022
- Notification due: August 8, 2022
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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 becoming 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.
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Paper Categories:
- Full papers: 12 pages + references
- Short/Position papers: 6 pages + references
Further remarks:
- 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 below.
Submission Link:
https://easychair.org/conferences/?conf=argml2022
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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.
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Organising Committee:
- Jack Mumford - jack.mumford at liverpool.ac.uk
- Stefan Sarkadi – stefan.sarkadi at inria.fr
- Isabelle Kuhlmann - isabelle.kuhlmann at fernuni-hagen.de
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Publication:
ArgML proceedings will be published in CEUR-WS proceedings.
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Contact:
All questions about submissions should be emailed to Jack Mumford (jack.mumford at liverpool.ac.uk)
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We are looking forward to your submissions and hope to see many of you at the workshop.
Best regards,
The ArgML Organising Committee
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