Neuro-symbolic AI, Mathematical Reasoning and Agents
September 14-17, 2026
Weierstrass Institute Berlin
This workshop brings together researchers from academia and industry who work at the intersection of neuro-symbolic AI, mathematical reasoning, and intelligent agents. We focus on architectures that combine logical and probabilistic reasoning with deep learning, knowledge graphs, and large language models, with particular emphasis on formal and informal mathematical reasoning, world models for agents, and continuous/continual learning. We invite contributions on topics including (but not limited to):
- Neuro-symbolic methods for theorem proving, program synthesis, and formal verification
- Logical/tensor-based frameworks for agents and world models
- Integration of symbolic reasoning with LLMs and tool-using agents
- Continual learning of concepts, rules, and mathematical structures
- Industrial case studies (e.g. robotics, digital twins, safety-critical systems, finance, law, logistics)
Organizers
- Martin Eigel (WIAS Berlin)
- Sebastian Pokutta (ZIB)
- Alex Goessmann (WIAS Berlin)
- Janina Schütte (WIAS Berlin)
Invited speakers
- Claudia d'Amato (University of Bari)
- Alexander Artikis (University of Piraeus, (NCSR) "Demokritos")
- Sören Auer (Leibniz University of Hannover, Leibniz TIB, L3S Research Center)
- Artur Garcez (University of London)
- Paul Groth (University of Amsterdam)
- Emile van Krieken (Vrije Universiteit Amsterdam)
- Giuseppe Marra (KU Leuven)
- Axel-Cyrille Ngonga Ngomo (Paderborn University)
- Luc De Raedt (KU Leuven, Örebro University)
- Wilma Schmidt (Bosch Corporate Research)
- Michael Spranger (Sony AI)
- Daria Stepanova (Bosch Center for Artitificial Intelligence)
- Danilo Valerio (Siemens AG Austria)
Contact and further information
Email: NESYRE2026@wias-berlin.de
Support
We gratefully acknowledge support by MATH+, ZIB, and Weierstrass Institute Berlin.
