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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).
CAUSAL 2019
IMPORTANT DATES
-----------------------
* 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
------
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.
ORGANIZERS
----------
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