[Kdml] AMAI Special Issue on Uncertain Reasoning in AI

###################################################################### Annals of Mathematics and Artificial Intelligence (AMAI) *** Special Issue on Uncertainty and Reasoning in AI *** on occasion of the Uncertain Reasoning Track at FLAIRS 2023 and 2024. April 13, 2025: paper submission ###################################################################### Uncertainty is a central phenomenon that touches all subfields of artificial intelligence. As many have observed, dealing with uncertainty remains one of the central challenges and limits the capabilities of AI approaches. For instance, many problems in AI (in reasoning, planning, learning, perception, and robotics) require the agent to operate with incomplete or uncertain information. This special issue of the Annals of Mathematics and Artificial Intelligence (AMAI) focuses on all aspects of uncertainty that concern reasoning and is devoted to the Uncertain Reasoning Special Track in 2023 and in 2024, which was located at the respective International Florida Artificial Intelligence Research Society Conference (FLAIRS). The Special Track on Uncertain Reasoning (UR) is the oldest track in FLAIRS conferences, running annually since 1996. The objective of this track is to provide a platform to present and discuss a broad and diverse range of current work on uncertain reasoning, including theoretical and applied research based on different paradigms. This special issue follows this tradition and the aims of the UR track. ### Topics ### This call is open to articles on all aspects of uncertain reasoning. Articles of particular interest include, but are not limited to: * Uncertain reasoning formalisms, calculi and methodologies * Reasoning with probability, possibility, fuzzy logic, belief function, vagueness, granularity, rough sets, and probability logics * Modeling and reasoning using imprecise and indeterminate information, such as: Choquet capacities, comparative orderings, convex sets of measures, and interval-valued probabilities * Exact, approximate and qualitative uncertain reasoning * Probabilistic graphical models of uncertainty such as: Bayesian networks, Markov random field, probabilistic circuits * Multi-agent uncertain reasoning and decision-making * Decision-theoretic planning and Markov decision process * Temporal reasoning and uncertainty * Non-monotonic reasoning * Conditional Logics * Argumentation theory * Belief change and merging * Similarity-based reasoning * Ontologies and description logics * Construction of models from elicitation, data mining and knowledge discovery * Uncertain reasoning in information retrieval, filtering, fusion, diagnosis, prediction, situation assessment * Uncertain reasoning in data management * Practical applications of uncertain reasoning * Learning probabilistic models * Applications in computer vision and animation ### Submission ### Submissions should be prepared following the guidelines of AMAI provided on this webpage: https://link.springer.com/journal/10472/submission-guidelines The submissions themselves are made via the submission page provided here: https://submission.springernature.com/new-submission/10472/3 When submitting, please select "S806: Uncertainty and Reasoning in AI" in the submission system to ensure that the submission is connected with the special issue. ### Schedule ### * April 13, 2025: paper submission * June 22, 2025: author notification * August 17, 2025: revisions and camera-ready paper submission ### Guest Editors ### * Tanya Braun <tanya.braun(a)uni-muenster.de> * Kai Sauerwald <kai.sauerwald(a)fernuni-hagen.de> * Choh Man Teng <cmteng(a)ihmc.org> For any questions, please contact one of the guest editors.