[Event at CIG] [EXTENDED DEADLINE] CAUSAL 2023: Workshop on Causal Reasoning and Explanation in Logic Programming -- Co-located with ICLP 2023
Emily LeBlanc
ecl.drexel at gmail.com
Tue May 23 00:09:49 CEST 2023
[Apologies for cross-postings]
[EXTENDED DEADLINE] CAUSAL 2023: Fifth Workshop on Causal Reasoning and
Explanation in Logic Programming
Website: https://sites.google.com/view/causal-2023
Submission link: https://easychair.org/conferences/?conf=causal2023
CAUSAL 2023 is a workshop of ICLP 2023 that will 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 interest 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 29, 2023 (extended)
* Notification: June 12, 2023 (extended)
* Final Versions: June 22, 2023 (extended)
* 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
* (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 (eleblanc at protonmail.com)
Contact
All questions about submissions should be emailed to Emily LeBlanc (
eleblanc at protonmail.com)
More information about the IFI-CI-Event
mailing list