[DL] CAUSAL 2019 Call for Papers

Emily LeBlanc ecl.drexel at gmail.com
Mon Feb 11 22:25:23 CET 2019

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                            CALL FOR PAPERS

                           *** CAUSAL 2019 ***

                          (June 3 or 4, 2019)

          CAUSAL 2019 is a workshop co-located with LPNMR 2019
                         in Philadelphia, PA (USA).


* Paper submission: April 15th 2019
* Notification: May 2nd 2019
* Final Versions: May 26th 2019
* Workshop Date: June 3rd or 4th 2019


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 LPNMR 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
* 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.

Please submit your paper via EasyChair:

At least one co-author of each accepted paper must register for and
attend the workshop.

Please check the LPNMR 2019 website for registration procedure and fees.

Emily LeBlanc, Drexel University, 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, Institut de Recherche en Informatique de Toulouse, France

Marcello Balduccini, Saint Joseph's University, USA
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