[hpc-announce] CFP - Workshop on Causal Reasoning and Explanation in Logic Programming (CAUSAL 2021)

[Miguel Areias]

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                           CALL FOR PAPERS
          CAUSAL 2021: Workshop on Causal Reasoning and Explanation
                       in Logic Programming

                   https://sites.google.com/view/causal2021/
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    A workshop of 37th International Conference on Logic Programming
                        September 20-27, 2021
                      (the event will be virtual)

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Important Dates
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* Paper submission:  July 17th 2021
* Notification:      July 31st 2021
* Final Versions:    August 15th 2021
* Workshop Date:     TBA (in September 20-27, 2021)

Overview
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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 of interests include (but are not limited to):
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* 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
* Learning causal relations and information
* Novel causal benchmarks
* Relating LP based causality and Causal Networks
* Challenging problems and benchmark examples
* Justifications and argumentation
* Explainable AI
* Explanations for diagnosis and debugging
* Tools, systems and applications

Submissions must describe original research and be prepared using the
Springer LNAI/LNCS format, available at:

https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

The workshop invites submissions of two types:

* Full papers not exceeding 13 pages (excluding references)

* Extended abstracts not exceeding 3 pages (excluding references)

Please submit your paper via EasyChair:

https://easychair.org/conferences/?conf=causal2021

At least one co-author of each accepted paper must register for and
attend the workshop.  Please check the ICLP 2021 website
(https://iclp2021.dcc.fc.up.pt/) for registration procedure and
fees. We are planning to publish a special issue with selected
workshop papers.

Organizers
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* Emily LeBlanc, US Naval Research Lab, USA
   (emily.leblanc at nrl.navy.mil)
* Joost Vennekens, KU Leuven, Belgium
* Tran Cao Son, New Mexico State University, USA
* Pedro Cabalar, Corunna University, Spain
* Jorge Fandiño, University of Nebraska at Omaha, USA
* Marcello Balduccini, Saint Joseph's University, USA
* Yuliya Lierler, University of Nebraska at Omaha, USA

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