BEGIN:VCALENDAR VERSION:2.0 PRODID:ILLC Website X-WR-TIMEZONE:Europe/Amsterdam BEGIN:VTIMEZONE TZID:Europe/Amsterdam X-LIC-LOCATION:Europe/Amsterdam BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19700329T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19701025T030000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:/NewsandEvents/Archives/2020/newsitem/11917/17 ---18-September-2020-Workshop-on-Causal-Reasoning- and-Explanation-in-Logic-Programming-CAUSAL-2020-V irtual DTSTAMP:20200731T141649 SUMMARY:Workshop on Causal Reasoning and Explanati on in Logic Programming (CAUSAL 2020), Virtual DTSTART;VALUE=DATE:20200917 DTEND;VALUE=DATE:20200918 LOCATION:Virtual DESCRIPTION:Sophisticated causal reasoning has lon g been prevalent in human society and continues to have an undeniable impact on the advancement of s cience, technology, medicine, and other significan t fields. From the development of ancient tools to modern roots of causal analysis in business and i ndustry, reasoning about causality and having the ability to explain causal mechanisms enables us to identify how an outcome of interest came to be an d gives insight into how to bring about, or even p revent, similar outcomes in future scenarios. Thi s ICLP 2020 workshop aims to bring together resear chers and practitioners of logic programming with a dedicated focus on methods and trends emerging f rom the study of causality and explanation. The wo rkshop will present the latest research and applic ation developments in these areas and provide oppo rtunities to discuss current and future research d irections and relationships to other fields (e.g. Machine Learning, Explainable AI, Diagnosis, Natur al Language Processing and Understanding, Philosop hy of Science). An important expected outcome of t his workshop is to collect first-hand feedback fro m the ICLP community about the role and placement of causal reasoning and explanation in the landsca pe of modern computer theory as well as in the sof tware industry. We welcome the submission of pape rs on systems, tools, and applications of logic pr ogramming methods for causal reasoning and explana tion. In particular, we encourage submissions pres enting recent developments, including works in pro gress. Submissions must describe original research and be prepared using the Springer LNAI/LNCS form at and should be no longer than 13 pages. X-ALT-DESC;FMTTYPE=text/html:
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.
We welcome the submissi on of papers on systems, tools, and applications o f logic programming methods for causal reasoning a nd explanation. In particular, we encourage submis sions presenting recent developments, including wo rks in progress. Submissions must describe origina l research and be prepared using the Springer LNAI /LNCS format and should be no longer than 13 pages .