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.
There will be several focused sessions on AI for ATP, ITP and mathematics, modern AI and big-data methods, and several sessions with contributed talks. The focused sessions will be based on invited talks and discussion oriented.
Cameron Freer | Priors on propositions: towards probabilistic programming for theorem proving |
Georges Gonthier | Formalising mathematical conventions |
Thomas C. Hales | F-ABSTRACTS (formal abstracts) - project introduction and discussion |
John Harrison | What has Artificial Intelligence Ever Done For Us (Formalizers)? |
Andreas Holmstrom | Number-theoretic conjecturing via zeta types and Tannakian symbols |
Michael Kohlhase | Tapping Sources of Mathematical (Big) Data |
David McAllester | Models of Mentalese |
Tim Rocktäschel | Deep Prolog: End-to-end Differentiable Proving in Knowledge Bases |
Stephan Schulz | Deep Reasoning - A Vision for Automated Deduction |
Luciano Serafini | Logic Tensor Networks |
Martin Suda | Measuring progress to predict success: Can a good proof strategy be evolved? |
Sarah Loos | Can Deep Learning Help Formal Reasoning? |
Alexander Bentkamp, Jasmin Christian Blanchette and Dietrich Klakow: An Isabelle Formalization of the Expressiveness of Deep Learning |
Chad Brown: Problems from the Grundlagen |
Przemyslaw Chojecki: DeepAlgebra - an outline of a program |
Joe Corneli and Moritz Schubotz: math.wikipedia.org: A vision on a collaborative semi-formal, language independent math(s) encyclopedia |
Michael Färber, Cezary Kaliszyk and Josef Urban: Monte Carlo Connection Prover |
Jan Jakubuv, Josef Urban and Robert Veroff: Towards AI Methods for Prover9 |
Eugen Kuksa: Logic-Independent Premise Selection for Autormated Theorem Proving |
Ramana Kumar and Benya Fallenstein: Applying Formal Verification to Reflective Reasoning |
Yutaka Nagashima Towards Smart Proof Search for Isabelle |
Karol Pąk and Aleksy Schubert: Greedy Algorithms for Finding Maximum Number of Then Step in Reasoning |
Bruno Woltzenlogel Paleo and John Slaney: Proof Search in Conflict Resolution |
Marwin Segler and Mark Waller: Chemical Discovery as a Knowledge Graph Completion Problem |
Josef Urban and Jiri Vyskocil: Progress in Automating Formalization |
The (extended) abstracts of all the invited and contributed talks are now available online.
We will consider an open call for post-proceedings in an established series of conference proceedings (LIPIcs, EPiC, JMLR) or a journal (AICom, JAR, JAIR).
Noriko Arai | National Institute of Informatics |
Jasmin Christian Blanchette | INRIA Nancy |
Ulrich Furbach | University of Koblenz |
Deyan Ginev | Jacobs University Bremen and Authorea |
Thomas C. Hales (co-chair) | University of Pittsburgh |
Sean Holden | University of Cambridge |
Geoffrey Irving | |
Cezary Kaliszyk (co-chair) | University of Innsbruck |
Jens Otten | University of Oslo |
Claudio Sacerdoti Coen | University of Bologna |
Stephan Schulz (co-chair) | DHBW Stuttgart |
Geoff Sutcliffe | University of Miami |
Josef Urban (co-chair) | Czech Technical University in Prague |
13:00-15:00 | lunch and check-in |
15:00-16:30 |
Welcome John Harrison What has Artificial Intelligence Ever Done For Us (Formalizers)? Stephan Schulz Deep Reasoning - A Vision for Automated Deduction |
16:30-17:00 | coffee break |
17:00-18:30 |
Sarah Loos Can Deep Learning Help Formal Reasoning? Tim Rocktäschel Deep Prolog: End-to-end Differentiable Proving in Knowledge Bases |
19:00 | dinner |
8:30-10:00 |
Georges Gonthier Formalising mathematical conventions Thomas C. Hales F-ABSTRACTS (formal abstracts) - project introduction and discussion |
10:00-10:30 | coffee break |
10:30-11:45 |
Michael Kohlhase Tapping Sources of Mathematical (Big) Data Josef Urban and Jiri Vyskocil Progress in Automating Formalization |
11:45-16:00 | free time |
16:00-16:30 | coffee break |
16:30-18:45 |
Andreas Holmstrom Number-theoretic conjecturing via zeta types and Tannakian symbols Przemyslaw Chojecki DeepAlgebra - an outline of a program short break Marwin Segler and Mark Waller Chemical Discovery as a Knowledge Graph Completion Problem Joe Corneli and Moritz Schubotz math.wikipedia.org: A vision on a collaborative semi-formal, language independent math(s) encyclopedia |
19:00 | dinner |
8:30-10:00 |
Luciano Serafini Logic Tensor Networks David McAllester Mathematics, Ontology and Reference |
10:00-10:30 | coffee break |
10:30-12:00 |
Ramana Kumar and Benya Fallenstein Applying Formal Verification to Reflective Reasoning Alexander Bentkamp, Jasmin Christian Blanchette and Dietrich Klakow An Isabelle Formalization of the Expressiveness of Deep Learning Yutaka Nagashima Towards Smart Proof Search for Isabelle |
12:00-17:20 | free time |
17:20-18:30 |
AITP Discussion or free time |
19:00 | dinner |
8:30-10:00 |
Cameron Freer Priors on propositions: towards probabilistic programming for theorem proving Martin Suda Measuring progress to predict success: Can a good proof strategy be evolved? |
10:00-10:30 | coffee break |
10:30-11:30 |
Jan Jakubuv and Robert Veroff Towards AI Methods for Prover9 Michael Färber Monte Carlo Connection Prover |
11:30-16:00 | free time |
16:00-16:30 | coffee break |
16:30-18:40 |
Chad Brown Problems from the Grundlagen Eugen Kuksa Logic-Independent Premise Selection for Autormated Theorem Proving short break Karol Pąk and Aleksy Schubert Greedy Algorithms for Finding Maximum Number of Then Step in Reasoning Bruno Woltzenlogel Paleo and John Slaney Proof Search in Conflict Resolution |
19:00 | dinner |
We thank the University of Innsbruck for their support of the Obergurgl conference center. |