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.
\nThis workshop a ims to bring together researchers and practitioner s of logic programming with a dedicated focus on m ethods and trends emerging from the study of causa lity and explanation. The workshop will present th e latest research and application developments in these areas and provide opportunities to discuss c urrent and future research directions and relation ships to other fields (e.g. Machine Learning, Diag nosis, Natural Language Processing and Understandi ng, Philosophy of Science). An important expected outcome of this workshop is to collect first-hand feedback from the ICLPÂ community about the role and placement of causal reasoning and explana tion in the landscape of modern computer theory as well as in the software industry.
\nWe welcome the submission of papers on sys tems, tools, and applications of logic programming methods for causal reasoning and explanation. In particular, we encourage submissions presenting re cent developments, including works in progress. Su bmissions must describe original research and be p repared using the Springer LNAI/LNCS format and sh ould be no longer than 13 pages.
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