-------- Forwarded Message -------- 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 withICLP2020                  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 theICLP 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/authors-editors/conference-proceedings/conferenc... https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines

Please submit your paper via EasyChair:

https://easychair.org/conferences/?conf=causal2020 https://easychair.org/conferences/?conf=causal2020

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

Please check theICLP2020 website for registration procedure and fees. https://iclp2020.unical.it/

ORGANIZERS ---------- Emily LeBlanc, US Naval Research Lab, USA,emily.leblanc@nrl.navy.mil mailto:emily.leblanc@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 Potsdam, Germany Marcello Balduccini, Saint Joseph's University, USA Yuliya Lierler, University of Nebraska at Omaha, USA

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