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/2019/newsitem/10774/23 ---26-September-2019-8th-Workshop-on-Dynamics-of-K nowledge-and-Belief-DKB-2019-and-7th-Workshop-KI-K ognition-KIK-2019-Formal-and-Cognitive-Reasoning-K assel-Germany DTSTAMP:20190702T140900 SUMMARY:8th Workshop on Dynamics of Knowledge and Belief (DKB-2019) and 7th Workshop KI & Kognition (KIK-2019): Formal and Cognitive Reasoning , Kasse l, Germany DTSTART;VALUE=DATE:20190923 DTEND;VALUE=DATE:20190926 LOCATION:Kassel, Germany DESCRIPTION:Information for real life AI applicati ons is usually pervaded by uncertainty and subject to change, and thus demands for non-classical rea soning approaches. At the same time, psychological findings indicate that human reasoning cannot be completely described by classical logical systems. Sources of explanations are incomplete knowledge, incorrect beliefs, or inconsistencies. A wide ran ge of reasoning mechanism has to be considered, su ch as analogical or defeasible reasoning. The fiel d of knowledge representation and reasoning offers a rich palette of methods for uncertain reasoning both to describe human reasoning and to model AI approaches. The aim of this series of workshops i s to address recent challenges and to present nove l approaches to uncertain reasoning and belief cha nge in their broad senses, and in particular provi de a forum for research work linking different par adigms of reasoning. We welcome original papers o n any of the workshop topics or related topics. We put a special focus on papers from both fields th at provide a base for connecting formal-logical mo dels of knowledge representation and cognitive mod els of reasoning and learning, addressing formal a s well as experimental or heuristic issues. X-ALT-DESC;FMTTYPE=text/html:
Informati on for real life AI applications is usually pervad ed by uncertainty and subject to change, and thus demands for non-classical reasoning approaches. At the same time, psychological findings indicate th at human reasoning cannot be completely described by classical logical systems. Sources of explanati ons are incomplete knowledge, incorrect beliefs, o r inconsistencies. A wide range of reasoning mecha nism has to be considered, such as analogical or d efeasible reasoning. The field of knowledge repres entation and reasoning offers a rich palette of me thods for uncertain reasoning both to describe hum an reasoning and to model AI approaches.
\n\nThe aim of this series of workshops is to addre ss recent challenges and to present novel approach es to uncertain reasoning and belief change in the ir broad senses, and in particular provide a forum for research work linking different paradigms of reasoning.
We welcome origina l papers on any of the workshop topics or related topics. We put a special focus on papers from both fields that provide a base for connecting formal- logical models of knowledge representation and cog nitive models of reasoning and learning, addressin g formal as well as experimental or heuristic issu es.