[Apologies for cross-postings]
CAUSAL 2023
Fifth Workshop on Causal Reasoning and Explanation in Logic Programming
Website: https://sites.google.com/view/causal-2023
CAUSAL 2023 is a workshop of ICLP 2023 be held in July 9-10 (TBD) at Imperial
College London, UK.
Sophisticated causal reasoning has long been prevalent in human society and
continues to have an undeniable impact on the advancement of science,
technology, medicine, and other significant fields. From the development of
ancient tools to modern roots of causal analysis in business and industry,
reasoning about and understanding causality enables us to identify how an
outcome of interest came to be and gives us insight into how to bring about, or
even prevent, similar outcomes in future scenarios.
This workshop aims to bring together researchers and practitioners of logic
programming with a dedicated focus on methods and trends emerging from the
study of causality and explanation. We welcome the submission of papers on
systems, tools, and applications of logic programming methods for causal
reasoning and explanation. In particular, we encourage submissions presenting
recent developments, including works in progress. The workshop will present the
latest research and application developments in these areas and provide
opportunities to discuss current and future research directions and
relationships to other fields (e.g. Machine Learning, Diagnosis, Natural
Language Processing and Understanding). An important expected outcome of this
workshop is to collect first-hand feedback from the ICLP community about the
role and placement of causal reasoning and explanation in the landscape of
modern computer theory as well as in the software industry.
Topics of interests include (but are not limited to):
• Modeling causal theories in logic programming
• Formalization of types of causes: sufficient, necessary, actual, etc
• Causality, temporal reasoning and action theories
• Causality and counterfactual reasoning
• Causality and experimental design
• Causality and probability
• Causality and equivalence
• Causality and ontology
• Learning causal relations and information
• Novel causal benchmarks
• Relating LP based causality and Causal Networks
• Challenging problems and benchmark examples
• Justifications and argumentation
• Explainable AI
• Explanations for diagnosis and debugging
• Tools, systems and applications
Important dates:
• Paper submission: May 21, 2023
• Notification: June 4, 2023
• Final Versions: June 18, 203
• Workshop Date: July 9-10 (TBD)
Submission Guidelines
Submissions must describe original research and be prepared using the Springer
LNAI/LNCS format (which can be found here). The workshop invites submissions of
two types:
• Full papers not exceeding 13 pages (excluding references)
• Extended abstracts not exceeding 3 pages (excluding references)
Please submit your paper via EasyChair:
https://easychair.org/my/conference?conf=causal2023
At least one co-author of each accepted paper must register for and attend the
workshop.
Please check the ICLP 2023 website for registration procedure and fees.
We are planning to publish a special issue with selected workshop papers.
Committee
PC members:
• (Chair) Francesco Fabiano, University of Parma
• Joost Vennekens, KU Leuven, Belgium
• Tran Cao Son, New Mexico State University, USA
• Pedro Cabalar, Corunna University, Spain
• Jorge Fandiño, University of Nebraska at Omaha, USA
• Marcello Balduccini, Saint Joseph's University, USA
• Brais Muñiz, University of Coruña, Spain
• Emily LeBlanc, USA (elebl...@protonmail.com)
Contact:
All questions about submissions should be emailed to Emily LeBlanc
(elebl...@protonmail.com)
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