[Om-announce] CAUSAL 2021 Call for Papers (workshop of ICLP-21)

Leblanc, Emily C CIV USN NRL (5512) Washington DC (USA) emily.leblanc at nrl.navy.mil
Mon Jun 14 15:20:29 CEST 2021

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Workshop on Causal Reasoning and Explanation in Logic Programming

                                                    CALL FOR PAPERS

                                                      *** CAUSAL 2021 ***

                                   CAUSAL 2021 is a workshop of ICLP 2021, to
                                    be held virtually September 20-27, 2021.

                                                Additional details about virtual
                                       attendance will be announced soon.

CAUSAL 2021 Important Dates
                * Paper submission: July 17th 2021
                * Notification: July 31st 2021
                * Final Versions: August 15th 2021
                * Workshop Date: TBA (in September 20-27, 2021)

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 causality and having the ability to explain causal mechanisms
enables us to identify how an outcome of interest came to be and gives
insight into how to bring about, or even prevent, similar outcomes in future

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, Philosophy of Science). 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, learning 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

Submissions must describe original research and be prepared using the Springer LNAI/LNCS format,
available at:

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/conferences/?conf=causal2021

At least one co-author of each accepted paper must register for and attend the workshop.
Please check the ICLP 2021 website (https://iclp2021.dcc.fc.up.pt/) for registration procedure
and fees. We are planning to publish a special issue with selected workshop papers.


* Emily LeBlanc, US Naval Research Lab, USA (emily.leblanc at nrl.navy.mil)
* 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
* Yuliya Lierler, University of Nebraska at Omaha, USA
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