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, possibly in combination with machine learning methods. The field of knowledge r epresentation and reasoning offers a rich palette of methods for uncertain reasoning both to describ e human reasoning and to model AI approaches.
\ n\nThe aim of this series of workshops is to address recent challenges and to present novel app roaches to uncertain reasoning and belief change i n their broad senses, and in particular provide a forum for research work linking different paradigm s of reasoning. We put a special focus on papers f rom both fields that provide a base for connecting formal-logical models of knowledge representation and cognitive models of reasoning and learning, a ddressing formal as well as experimental or heuris tic issues. FCR 2020 will be a workshop at the 43r d German Conference on Artificial Intelligence (KI -2020).
\nWe welcome papers o n the following and any related topics: * action a nd change; * agents and multiagent systems; * anal ogical reasoning; * formal argumentation; * belief revision and belief update; * cognitive modeling and empirical data; * commonsense and defeasible r easoning; * decision theory and preferences; * ind uctive reasoning and cognition; * knowledge repres entation in theory and practice; * learning and kn owledge discovery in data; * nonmonotonic and unce rtain reasoning; * ontologies and description logi cs; * probabilistic approaches of reasoning; * syl logistic reasoning.
\n\nPapers should be f ormatted according to the Springer LNCS format.&nb sp; The length of each paper should not exceed 8-1 2 pages. All papers must be written in English and submitted in PDF format via the EasyChair system.
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