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CALL FOR PAPERS
*** CAUSAL 2019 ***
(June 3 or 4, 2019)
Workshop on Causal Reasoning and Explanation in
Logic Programming
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