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/2022/newsitem/13689/20 -September-2022-8th-Workshop-on-Formal-and-Cogniti ve-Reasoning-FCR-2022-Trier-Germany DTSTAMP:20220519T152527 SUMMARY:8th Workshop on Formal and Cognitive Reaso ning (FCR-2022), Trier, Germany DTSTART;VALUE=DATE:20220920 DTEND;VALUE=DATE:20220920 LOCATION:Trier, Germany DESCRIPTION:Information for real-life AI applicati ons is usually pervaded by uncertainty and subject to change, thus demands non-classical reasoning a pproaches. At the same time, psychological finding s indicate that human reasoning cannot be complete ly described by classical logical systems. Sources of explanations are incomplete knowledge, incorre ct beliefs, or inconsistencies. A wide range of re asoning mechanisms has to be considered, such as a nalogical or defeasible reasoning, possibly in com bination with machine learning methods. The field of knowledge representation and reasoning offers a rich palette of methods for uncertain reasoning b oth to describe human reasoning and to model AI ap proaches. The aim of this series of workshops is to address recent challenges and to present novel approaches to uncertain reasoning and belief chang e in their broad senses, and in particular provide a forum for research work linking different parad igms of reasoning. A special focus is on papers 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 nd experimental or heuristic issues. FCR 2022 will be co-located with the 45th German Conference on Artificial Intelligence in Trier, Germany. We wel come papers on the following and any related topic s: Action and change, Agents and multiagent system s, Analogical reasoning, Argumentation theories, B elief change and belief merging, Cognitive modelin g and empirical data, Common sense and defeasible reasoning, Computational thinking, Decision theory and preferences, Inductive reasoning and cognitio n, Knowledge representation in theory and practice , Learning and knowledge discovery in data, Nonmon otonic and uncertain reasoning, Ontologies and des cription logics, Probabilistic approaches of reaso ning, and Syllogistic reasoning. Papers should be formatted according to the Springer LNCS format. The length of each paper should not exceed 8-12 pa ges. All papers must be written in English and sub mitted in PDF format via the EasyChair system. X-ALT-DESC;FMTTYPE=text/html:
Informati on for real-life AI applications is usually pervad ed by uncertainty and subject to change, thus dema nds non-classical reasoning approaches. At the sam e time, psychological findings indicate that human reasoning cannot be completely described by class ical logical systems. Sources of explanations are incomplete knowledge, incorrect beliefs, or incons istencies. A wide range of reasoning mechanisms ha s to be considered, such as analogical or defeasib le reasoning, possibly in combination with machine learning methods. The field of knowledge represen tation and reasoning offers a rich palette of meth ods for uncertain reasoning both to describe human reasoning and to model AI approaches.
\nT he aim of this series of workshops is to address r ecent challenges and to present novel approaches t o uncertain reasoning and belief change in their b road senses, and in particular provide a forum for research work linking different paradigms of reas oning. A special focus is on papers that provide a base for connecting formal-logical models of know ledge representation and cognitive models of reaso ning and learning, addressing formal and experimen tal or heuristic issues. FCR 2022 will be co-locat ed with the 45th German Conference on Artificial I ntelligence in Trier, Germany.
Papers should be formatted according to the Sprin ger LNCS format. The length of each paper should n ot exceed 8-12 pages. All papers must be written i n English and submitted in PDF format via the Easy Chair system.