Large-scale semantic processing and strong computer assistance of mathematics and science is our inevitable future. New combinations of AI and reasoning methods and tools deployed over large mathematical and scientific corpora will be instrumental to this task. The AITP conference is the forum for discussing how to get there as soon as possible, and the force driving the progress towards that.

- AI and big-data methods in theorem proving and mathematics
- Collaboration between automated and interactive theorem proving, in particular their AI/ML aspects
- Common-sense reasoning and reasoning in science
- Alignment and joint processing of formal, semi-formal, and informal libraries, Formal Abstracts
- Methods for large-scale computer understanding of mathematics and science
- Combinations of linguistic/learning-based and semantic/reasoning methods
- Formal verification of AI and machine learning algorithms, explainable AI

There will be several focused sessions on AI for ATP, ITP, mathematics, relations to general AI (AGI), Formal Abstracts, linguistic processing of mathematics/science, modern AI and big-data methods, and several sessions with contributed talks. The focused sessions will be based on invited talks and discussion oriented. AITP'23 is planned as an in-person conference. Virtual participation may be possible in exceptional situations.

João Araújo | Universidade Nova de Lisboa | |

Walter Dean | University of Warwick | |

Michael R. Douglas | Stony Brook University | |

Thibault Gauthier | Czech Technical University in Prague | |

Ben Goertzel | SingularityNET | |

Sergei Gukov | Caltech | |

John Harrison | Amazon | |

Sean Holden | University of Cambridge | |

Mikoláš Janota | University of Lisbon | |

Moa Johansson | Chalmers University | |

Cezary Kaliszyk | University of Innsbruck | |

Konstantin Korovin | The University of Manchester | |

Tomáš Mikolov | Czech Technical University in Prague | |

Eric Mjolsness | University of California Irvine | |

Alberto Naibo | University Paris 1 | |

Miroslav Olsak | IHES | |

Alison Pease | University of Dundee | |

J.D. Phillips | Northern Michigan University | |

Michael Rawson | TU Wien, Austria | |

Stephan Schulz | DHBW Stuttgart | |

Martin Suda | Czech Technical University in Prague | |

Christian Szegedy | Google Research | |

Josef Urban | Czech Technical University in Prague | |

Kaiyu Yang | Caltech | |

Zsolt Zombori | Alfréd Rényi Institute of Mathematics |

Sergei Gukov | Searching for ribbons with machine learning | |

Sean Holden | Three Decades of Learning to Solve Satisfiability Problems | |

Moa Johansson | Exploring Mathematical Conjecturing with Large Language Models | |

Eric Mjolsness | AI and Theorem-Proving for Science: Towards AI for mathematical modeling of complex physical and biological systems (with aspects of “Feynman on AI ...” book chapter) | |

Alison Pease | Studies of Mathematical Practice and Lessons for ATP | |

Kaiyu Yang | LeanDojo: Theorem Proving with Retrieval-Augmented Language Models |

- Submission deadline:
~~May 5~~Extended: May 10, 2023 - Author notification: June 20, 2023
- Conference registration: TBA
- Camera-ready versions: TBA
- Conference: September 3-8, 2023

There will be a special AITP track at TABLEAUX'23 where full versions of the papers can be submitted.

Jasmin Christian Blanchette | INRIA Nancy |

Michael R. Douglas (co-chair) | Stony Brook University |

Ulrich Furbach | University of Koblenz |

Thibault Gauthier | Czech Technical University in Prague |

Thomas C. Hales (co-chair) | University of Pittsburgh |

Sean Holden | University of Cambridge |

Mikoláš Janota | University of Lisbon |

Cezary Kaliszyk (co-chair) | University of Innsbruck |

Michael Kinyon | University of Denver |

Peter Koepke | University of Bonn |

Michael Kohlhase | FAU Erlangen-Nürnberg |

Konstantin Korovin | The University of Manchester |

Ramana Kumar | DeepMind |

Adam Pease | Articulate Software |

Michael Rawson | TU Wien |

Stephan Schulz (co-chair) | DHBW Stuttgart |

Christian Szegedy | Google Research |

Josef Urban (co-chair) | Czech Technical University in Prague |

Sean Welleck | University of Washington |

Zsolt Zombori | Alfréd Rényi Institute of Mathematics |

19:30 | dinner |

9:00-10:15 Chair: Martin Suda |
Welcome Moa Johansson Exploring Mathematical Conjecturing with Large Language Models(55m)David Herel and Tomas Mikolov Thinking Tokens for Language Modeling (20m) |

10:15-10:45 | coffee break |

10:45-12:05 Chair: Konstantin Korovin |
Ryutaro Yamauchi, Sho Sonoda, Akiyoshi Sannnai and Wataru KumagaiMarkup Language for Mathematical Reasoning with LLMs (30m)Ádám Fraknói, Andras Kornai and Zsolt Zombori Embedding Mathematical Formulas into Vector Space (20m)Viktor Kjellberg, Daniel Enström and Moa Johansson Reasoning or Spurious Correlations? Applying transformers to propositional logic (30m) |

12:05-13:30 | lunch |

16:30-17:00 | coffee break |

17:00-19:00 Chair: Joao Araujo |
Kai Fong Ernest ChongAlgebraic Machine Reasoning: How inductive reasoning reduces to algebraic computations (30m)Thibault Gauthier, Miroslav Olsak and Josef Urban Improvements in Program Synthesis for Integer Sequences (30m)Alexei Lisitsa Towards computer-assisted proofs of parametric Andrews-Curtis simplifications (30m) |

19:00 | dinner |

9:00-10:15 Chair: Alexei Lisitsa |
Sergei GukovSearching for ribbons with machine learning (55m)Jan Jakubuv and Cezary Kaliszyk VizAR: The Proof Navigator (20m) |

10:15-10:45 | coffee break |

10:45-12:05 Chair: Michael Douglas |
Eric MjolsnessAI and Theorem-Proving for Science: Towards AI for mathematical modeling of complex physical and biological systems (with aspects of “Feynman on AI ...” book chapter) (60m) |

12:05-13:30 | lunch |

16:30-17:00 | coffee break |

17:00-19:00 Chair: Moa Johansson |
Kaiyu YangLeanDojo: Theorem Proving with Retrieval-Augmented Language Models (55m)Filip Bártek and Martin Suda Robust Strategy Schedule Optimization for an Automatic Theorem Prover (30m)Jan Jakubuv, Karel Chvalovský, Zarathustra Goertzel, Cezary Kaliszyk, Miroslav Olšák, Bartosz Piotrowski, Stephan Schulz, Martin Suda and Josef Urban MizAR 60 for Mizar 50 (30m) |

19:00 | dinner |

9:00-10:15 Chair: Stephan Schulz |
Alison PeaseStudies of Mathematical Practice and Lessons for ATP (55m)Adam Pease and Josef Urban Towards Open Domain English to Logic Translation (20m) |

10:15-10:45 | coffee break |

10:45-12:25 Chair: Cezary Kaliszyk |
Zarathustra GoertzelFormal Ethics Ontology in SUMO: Progress Report and Lessons Learned (30m)J.D. Phillips. Automated Theorem Provers in Mathematical Research (40m)Mario Carneiro, Chad Brown and Josef Urban Automated Theorem Proving for Metamath (30m) |

12:30-14:00 | lunch |

17:00-17:30 | coffee break |

17:30-19:00 Chair: Josef Urban |
Panel Discussion (B. Goertzel and T. Mikolov remotely and M. Carneiro, M. Douglas, M. Johansson, A. Kornai, A. Pease, S. Schulz locally) LLMs vs Math/TP vs AGI (90m) |

19:00 | dinner |

9:00-10:20 Chair: Mario Carneiro |
Sankalp Gambhir, Simon Guilloud, Dragana Milovancevic, Philipp Rummer and Viktor KuncakLISA Tool Integration and Education Plans (30m)Bartosz Piotrowski, Ramon Fernández Mir and Edward Ayers Machine-Learned Premise Selection for Lean (20m)Edvard Holden and Konstantin Korovin Graph Sequence Learning for Premise Selection (30m) |

10:20-10:50 | coffee break |

10:50-12:00 Chair: Thibault Gauthier |
Michael Rawson, Christoph Wernhard and Zsolt ZomboriLearning to Identify Useful Lemmas from Failure (35m)Karel Chvalovský, Konstantin Korovin, Jelle Piepenbrock and Josef Urban. Guiding an Instantiation Prover with Graph Neural Networks (35m) |

12:00-13:30 | lunch |

16:30-17:00 | coffee break |

17:00-19:00 Chair: Zsolt Zombori |
Sean HoldenThree Decades of Learning to Solve Satisfiability Problems(60m)Dylan Zhang, Talia Ringer and Emily First Getting More out of Large Language Models for Proofs (30m)Martin Suda Descending to Complementarity (30m) |

19:00 | dinner |

9:00-10:10 Chair: TBA |
Boris Shminkegym-saturation: Gymnasium environments for saturation provers (system description) (35m)Jan Heemstra Hardware accelerated intelligent theorem proving (35m) |

10:15-10:45 | coffee break |

10:45-12:00 Chair: TBA |
Jelle Piepenbrock, Mikolas Janota, Jan Jakubuv and Bartosz PiotrowskiProject Proposal: SMT Instantiation via Graph Neural Networks (25m)Mikolas Janota, Chad Brown and Cezary Kaliszyk A Benchmark for Infinite Models in SMT (Ongoing work) (25m)Liao Zhang Inductive Logic Programming for Interactive Theorem Proving (25m) |

12:30-14:00 | lunch and departure from the center |

10:00-16:30 | Excursion/Discussions in groups |

The conference will take place from September 3 to September 8 2023 in the CNRS Paul-Langevin Conference Center located in the mountain village of Aussois in Savoy. Dominated by the "Dent Parrachée", one of the highest peaks of La Vanoise, Aussois is located on a sunny plateau at 1500 m altitude, offering a magnificent panorama of the surrounding mountains and a direct access to the downhill ski slopes or cross country slopes in winter. The total price for accommodation and food for the five days will be around 600 EUR.

Aussois is less than 2h from the airports of Lyon, Geneve, Chambery, Annecy, Grenoble and Turin. There are trains and buses to Modane from these airports. Aussois is 8km from the Modane TGV station with direct trains from/to Paris. We will organize a bus for the participants from there to Aussois. Further buses to these airports / station can be found here and it is easy to get a taxi from Modane to Aussois and back.