![]() |
| |||||||||||||||
ECSQARU 2025 : 18th European Conference on Symbolic and Quantitative Approaches to Reasoning with UncertaintyConference Series : European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty | |||||||||||||||
Link: https://ecsqaru2025.krportal.org/ | |||||||||||||||
| |||||||||||||||
Call For Papers | |||||||||||||||
The biennial ECSQARU conferences (www.ecsqaru.org/) constitute a major forum for advances in the theory and practice of reasoning under uncertainty, with a focus on bringing symbolic and quantitative aspects together. Contributions come from researchers interested in advancing the scientific knowledge and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.
Previous ECSQARU events have been held in Arras (2023), Prague (2021), Belgrade (2019), Lugano (2017), Compiegne (2015), Utrecht (2013), Belfast (2011), Verona (2009), Hammamet (2007), Barcelona (2005), Aalborg (2003), Toulouse (2001), London (1999), Bonn (1997), Fribourg (1995), Granada (1993), and Marseille (1991). ECSQARU 2025 will welcome papers on the theory and practice of reasoning under uncertainty. This includes the following topics, but is not limited to: Algorithms for uncertain inference) Applications of uncertain systems Argumentation Acting under uncertainty Belief functions Belief change and belief merging Classification and clustering Decision theory and decision graphs Default reasoning and non-monotonicity Description logics with uncertainty Foundations of reasoning under uncertainty Fuzzy sets and fuzzy logic Game theory Hybrid reasoning Imprecise probabilities Inconsistency handling Information fusion Learning for uncertainty formalisms Logics for reasoning under uncertainty Markov decision processes Planning under uncertainty Possibility theory and possibilistic logic Preferences Probabilistic graphical models Probabilistic logics Qualitative uncertainty models Rough sets Uncertainty and data Submitted papers must be original and not under review in a journal or another venue with formally published proceedings. They will be evaluated by peer reviews based on originality, significance, technical soundness, and clarity of exposition. The reviewing process is single blind. Authors of accepted papers are expected to attend the conference to present their work, at least one author of each paper must register for the conference. Submitted papers must be at most 12 pages (excluding references) in the Springer LNCS/LNAI format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines Paper submission, in PDF format, will be managed through OpenReview at https://openreview.net/group?id=ECSQARU.org/2025/Conference and will be opened on January 1, 2025. It is mendatory to register an abstract beforehand. The abstract submission deadline is May 8, 2025; and the submission deadline for papers is May 15, 2025. Accepted papers will be published in the Springer Lecture Notes in Artificial Intelligence (LNAI) series, which is a LNCS subseries. |
|