Sophistic ated causal reasoning has long been prevalent in h uman society and continues to have an undeniable i mpact on the advancement of science, technology, m edicine, and other significant fields. From the de velopment of ancient tools to modern roots of caus al analysis in business and industry, reasoning ab out causality and having the ability to explain ca usal mechanisms enables us to identify how an outc ome of interest came to be and gives insight into how to bring about, or even prevent, similar outco mes in future scenarios.
\n\nThis ICLP 202 0 workshop aims to bring together researchers and practitioners of logic programming with a dedicate d focus on methods and trends emerging from the st udy of causality and explanation. The workshop wil l present the latest research and application deve lopments in these areas and provide opportunities to discuss current and future research directions and relationships to other fields (e.g. Machine Le arning, Explainable AI, Diagnosis, Natural Languag e Processing and Understanding, Philosophy of Scie nce). An important expected outcome of this worksh op is to collect first-hand feedback from the ICLP community about the role and placement of causal reasoning and explanation in the landscape of mode rn computer theory as well as in the software indu stry.
\nWe welcome the submis sion of papers on systems, tools, and applications of logic programming methods for causal reasoning and explanation. In particular, we encourage subm issions presenting recent developments, including works in progress. Submissions must describe origi nal research and be prepared using the Springer LN AI/LNCS format and should be no longer than 13 pag es.
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