[fg-arc] CAUSAL 2022: Workshop on Causal Reasoning and Explanation (co-located with ICLP 2022)

[Emily LeBlanc]

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Fourth Workshop on Causal Reasoning and Explanation in Logic Programming

                    CALL FOR PAPERS

                                 *** CAUSAL 2022 ***

                                               July 31 2022

     Fourth Workshop on Causal Reasoning and Explanation in Logic
Programming

          CAUSAL 2022 is a workshop of ICLP 2022 to be held in Haifa,
Israel.

CAUSAL 2022 IMPORTANT DATES

-----------------------

* Paper submission: May 22nd 2022

* Notification: June 5th 2022

* Final Versions: June 20th 2022

* Workshop Date: July 31 2022

------------------------

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

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, 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

------

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

* Relating LP based causality and Causal Networks

* Challenging problems and benchmark examples

* Justifications and argumentation

* Explanations for diagnosis and debugging

* Tools, systems and applications

Submissions must describe original research and be prepared using the
Springer

LNAI/LNCS format and should be no longer than 13 pages.

https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines

Please submit your paper via EasyChair:

https://easychair.org/conferences/?conf=causal2022

At least one co-author of each accepted paper must register for and

attend the workshop.

Please check the ICLP 2022 website for registration procedure and fees.

https://software.imdea.org/Conferences/ICLP2022/
<https://iclp2020.unical.it/>

ORGANIZERS

----------

Emily LeBlanc, USA, ecl.drexel at gmail.com

Joost Vennekens, KU Leuven, Belgium

Tran Cao Son, New Mexico State University, USA

Pedro Cabalar, Corunna University, Spain

Jorge Fandiño, University of Potsdam, Germany

Marcello Balduccini, Saint Joseph's University, USA

Yuliya Lierler, University of Nebraska at Omaha, USA
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