Full Papers
Original research contributions with substantial technical depth and experimental validation.
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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
Preliminary results, position papers, or novel ideas with clear potential for future work.
Journal-First Papers
Extended versions of papers recently accepted in top-tier journals, with significant new material.
Research areas in scope
01
Topics of Interest
Neural-symbolic architectures for causal reasoningCausal discovery from neural representationsSymbolic grounding in neural networksCausal representation learningExplainable AI through causal symbolic modelsCausal inference in structured domainsIntegration of causal graphs with deep learningNeural-symbolic systems for counterfactual reasoningCausal reasoning in multi-agent systemsApplications 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, and journal-first papers to 15 pages, all in LNCS format.
- Dual submission to other conferences or journals with overlapping content 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