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.
\nWe welcome papers on the following and any rel ated topics: Action and change, Agents and multiag ent systems, Analogical reasoning, Argumentation t heories, Belief change and belief merging, Cogniti ve modeling and empirical data, Common sense and d efeasible reasoning, Computational thinking, Decis ion theory and preferences, Inductive reasoning an d cognition, Knowledge representation in theory an d practice, Learning and knowledge discovery in da ta, Nonmonotonic and uncertain reasoning, Ontologi es and description logics, Probabilistic approache s of reasoning, and Syllogistic reasoning.
\nPapers should be formatted according to the Spr inger LNCS format. The length of each paper should not exceed 8-12 pages. All papers must be written in English and submitted in PDF format via the Ea syChair system.
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