(Updated) 17 - 18 September 2020, Workshop on Causal Reasoning and Explanation in Logic Programming (CAUSAL 2020), Virtual
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 ICLP 2020 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. 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.
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. Submissions must describe original research and be prepared using the Springer LNAI/LNCS format and should be no longer than 13 pages.