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Causal-NeSy 2026
2nd Causal Neuro-symbolic Artificial Intelligence (Causal NeSy): Toward Agentic LLMs with Neuro-Symbolic and Graph Based Reasoning
CausalNeSy 2026 is a conference focused on the integration of causal reasoning and neural-symbolic systems, bringing together researchers from artificial intelligence, machine learning, cognitive science, and related fields to advance methods that combine symbolic reasoning with neural networks for robust, interpretable, and causal AI systems.
Key deadlines
Verified September 9, 2026Full paper
March 19, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
March 19, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Concise presentations of novel ideas, preliminary results, or position papers.
Journal Track
Extended versions of previously published work suitable for journal submission.
Research areas in scope
01
Research Topics
Causal representation learningNeural-symbolic integrationCausal inference in deep learningExplainable and interpretable AISymbolic reasoning with neural networksCausal discovery from dataCausal models for decision makingCausal fairness and ethics in AINeural architectures for symbolic manipulationHybrid architectures for reasoning and learningApplications of causal-neurosymbolic systems in robotics, healthcare, and science
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Full papers are limited to 10 pages, short papers to 6 pages, both in LNCS format.
- Dual submission to other conferences or journals is not permitted.
- Author lists and affiliations cannot be changed after the submission deadline.
- Authors must include a statement on the use of AI tools in the preparation of the paper.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026