| Subject: | [WI] [2nd CfP] CAUSAL 2020 - Workshop on Causal Reasoning and Explanation in Logic Programming |
|---|---|
| Date: | Wed, 24 Jun 2020 17:04:51 +0200 |
| From: | Laura Pandolfo <lpandolfo@uniss.it> |
| Reply-To: | Laura Pandolfo <lpandolfo@uniss.it> |
| To: | wi@aifb.uni-karlsruhe.de |
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Workshop on Causal Reasoning and Explanation in Logic
Programming
CALL FOR PAPERS
*** CAUSAL 2020 ***
(September 17 or 18, 2020)
Workshop on Causal Reasoning and Explanation in
Logic Programming
CAUSAL 2020 is a workshop co-located with ICLP 2020
in University of Calabria, Rende,
Italy.
*NOTE ABOUT COVID-19: We will follow advice from the ICLP2020 organizers on the situation, and we will revise our workshop timeline and other procedures accordingly if needed.*
CAUSAL
2020 IMPORTANT DATES
-------------------------
* Paper submission: July 15th 2020
* Notification: July 30th 2020
* Final Versions: August 15th 2020
* Workshop Date: September 17th or 18th 2020
------------------------
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,
Explainable AI, 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/
Please submit your paper via EasyChair:
https://easychair.org/
At least one co-author of each accepted paper must
register for and
attend the workshop.
Please check the ICLP 2020
website for registration procedure and fees.
https://iclp2020.unical.it/
ORGANIZERS
----------
Emily LeBlanc, US Naval Research Lab, USA, emily.leblanc@nrl.navy.mil
Joost Vennekens, KU Leuven, Belgium
Tran Cao Son, New Mexico State University, USA
Pedro Cabalar, Corunna University, Spain
Jorge Fandiņo, University of Potsdam, Germany
Marcello Balduccini, Saint Joseph's University, USA
Yuliya Lierler, University of Nebraska at Omaha, USA