The biennial ECSQARU conferences 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 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).

Submission Guidelines

Authors are requested to prepare their conference papers in the LNCS/LNAI format. 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. 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 10 pages (excluding references) in the Springer LNCS/LNAI format. Submissions will be through EasyChair.

• May 12, 2023: Abstract submission deadline
• May 20, 2023: Paper submission deadline
• June 14, 2023: Author notification
• July 04, 2023: Camera-ready version
• Sept 19-22, 2023: ECSQARU 2023

List of Topics

For ECSQARU 2023 we invite submissions of original papers on topics which include but are not limited to:

• Algorithms for uncertain inference
• Applications of uncertain systems
• Argumentation systems
• Automated planning and acting under uncertainty
• Belief functions
• Belief change & merging
• Classification & clustering
• Decision theory & decision graphs
• Default reasoning
• Description logics with uncertainty
• Foundations of reasoning under uncertainty
• Fuzzy sets & fuzzy logic
• Game theory
• Hybrid reasoning
• Imprecise probabilities
• Inconsistency handling
• Information fusion - Learning for uncertainty formalisms
• Learning for uncertainty formalisms
• Logics for reasoning under uncertainty
• Markov decision processes
• Possibility theory & possibilistic logic
• Preferences
• Probabilistic graphical models
• Probabilistic logics
• Qualitative uncertainty models
• Rough sets
• Uncertainty & data

Venue

The conference will be held in Arras, France

Contact

All questions about submissions should be emailed to bouraoui@cril.fr