Sign in

Levin Hornischer

@levinhornischer.bsky.social
250 followers 154 following 12 posts

Assistant professor at LMU Munich, MCMP (Munich Center for Mathematical Philosophy). He/him. Working on: foundations of AI, logic, dynamical systems, semantics, epistemology. levinhornischer.github.io

PostsRepliesMedia
Levin Hornischer @levinhornischer.bsky.social · 07/08/2026
Thoroughly enjoyed teaching at ESSLLI 2026 on Stone duality! Thanks so much to the wonderful participants & the organizers of this great summer school!🥳 Covered how to translate 'geometric talk' of states to the 'algebraic talk' of what follows from what: levinhornischer.github.io/StoneDuality...
levinhornischer.github.io
Stone Duality
A course given at ESSLLI 2026
060
Levin Hornischer @levinhornischer.bsky.social · 28/07/2026
Proud to have co-organized our summer school with a dream team again 😊 A big thank you to the lecturers and the participants for making this such a nice event! 🥳
072
Levin Hornischer @levinhornischer.bsky.social · 10/03/2026
Still time to apply (⏰March 15): The MCMP organizes again the Summer School for Widening Participation in Mathematical Philosophy (20-24 July 2026). Lectures by Dunja Šešelja [Bochum], Xueyin (Snow) Zhang [Berkeley], and Sabina Leonelli [TUM]. www.mathsummer.philosophie.uni-muenchen.de/index.html
mathsummer.philosophie.uni-muenchen.de
MCMP Summer School for Widening Participation in Mathematical Philosophy - LMU Munich
021
Reposted by Levin Hornischer
LMU Munich Philosophy Faculty @lmuphilosophy.bsky.social · 12/01/2026
"In the philosophy lab" - new interview with Professor Hannes Leitgeb (Chair of Logic and Philosophy of Language), here: www.lmu.de/en/newsroom/... #philosophy #mathematics #mathematicalphilosophy
lmu.de
In the philosophy lab
Hannes Leitgeb is an LMU philosopher and winner of the Leibniz Prize. He investigates truth and rationality and under which conditions artificial intelligence arrives at reasonable decisions.
0198
Reposted by Levin Hornischer
Franz Berto @franzberto.bsky.social · 16/01/2026
The updated SEP entry on #Hyperintensionality is online! As the topic has exploded in recent years, might be Daniel and I haven't managed to mention YOUR stuff. Don't be upset: rest assured we've mentioned something intensionally equivalent to that. 😎 plato.stanford.edu/entries/hype...
plato.stanford.edu
Hyperintensionality (Stanford Encyclopedia of Philosophy)
0167
Reposted by Levin Hornischer
Munich Center for Mathematical Philosophy @lmu-mcmp.bsky.social · 19/01/2026
PhD opportunities: The MCMP's Chair of Logic and Philosophy of Language (Prof. Hannes Leitgeb) at @lmumuenchen.bsky.social advertises two PhD positions (deadline 7 Feb 2026). See job-portal.lmu.de/jobposting/5...
job-portal.lmu.de
Doctoral Fellow (m/f/x)
0126
Reposted by Levin Hornischer
Munich Center for Mathematical Philosophy @lmu-mcmp.bsky.social · 19/01/2026
Postdoc opportunities: The MCMP's Chair of Logic and Philosophy of Language (Prof. Hannes Leitgeb) at @lmumuenchen.bsky.social advertises two Postdoc positions (deadline 31 Jan 2026). See job-portal.lmu.de/jobposting/7...
job-portal.lmu.de
Postdoctoral Fellow (m/f/x)
077
Levin Hornischer @levinhornischer.bsky.social · 07/01/2026
New paper in Synthese: 'Robustness and trustworthiness in AI: a no-go result from formal epistemology' ❓When does AI model M, on input x, show behavior φ robustly? 💡In modal logic: M,x⊧□φ ➡️Exposes limit on robustness & trustworthiness link.springer.com/article/10.1... philpapers.org/rec/HORRAT-13
link.springer.com
Robustness and trustworthiness in AI: a no-go result from formal epistemology - Synthese
Synthese - A major issue for the trustworthiness of modern AI-models is their lack of robustness. A notorious example is that putting a small sticker on a stop sign can cause AI-models to classify...
0125
Levin Hornischer @levinhornischer.bsky.social · 05/12/2025
Back from Bamberg, Germany, where I was fortunate to receive a shared second prize in the Gödel Award 2025 for my essay "A Stability Interpretation of Gödel"🙏🎉 I use the principle of stability to make sense of Gödel's realism about mathematics and idealism about time. kurtgoedel.de/kurt-goedel-...
kurtgoedel.de
Kurt Gödel Award 2025 – Kurt Gödel Freundeskreis
050
Reposted by Levin Hornischer
Munich Center for Mathematical Philosophy @lmu-mcmp.bsky.social · 17/11/2025
The 2026 application round for the MA in Logic and Philosophy of Science at @lmumuenchen.bsky.social is now open. Please help us spread the word. www.philosophie.lmu.de/en/study/deg...
philosophie.lmu.de
Master in Logic and Philosophy of Science
Our Master (MA) program in Logic and Philosophy of Science was founded in October 2012. It is an international MA program of the Faculty of Philosophy, Philosophy of Science and Religious Studies at L...
01414
Levin Hornischer @levinhornischer.bsky.social · 13/10/2025
New preprint: "Universal Analog Computation: Fraïssé limits of dynamical systems" ➡️Via neural nets, analog computation re-gains prominence. ❓It lacks universal machines like digital computation: Can they exist? 💡Using Fraïssé limits from logic, we build universal systems. philpapers.org/rec/HORUAC
philpapers.org
Levin Hornischer, Universal Analog Computation: Fraïssé limits of dynamical systems - PhilPapers
Analog computation is an alternative to digital computation, that has recently re-gained prominence, since it includes neural networks. Further important examples are cellular automata and differentia...
030
Levin Hornischer @levinhornischer.bsky.social · 06/08/2025
New paper in JAIR, with Zoi Terzopoulou: 'Learning How to Vote with Principles: Axiomatic Insights Into the Collective Decisions of Neural Networks' ❓Can neural nets find new voting rules to aggregate preferences? 💡Yes, by optimizing for axioms! jair.org/index.php/ja... philpapers.org/rec/HORLHT
The preferences concerning three alternatives (apple, banana, cherries) of three stylized individuals are fed into a stylized neural network. The network outputs a ranking of the three alternatives as the aggregated preference of the group. It selects the top ranked alternative, in this case the apple. In the bottom right, there are two stylized scientists wondering if this network is 'anonymous', 'biased', and 'cycle-free' in its preference aggregation.
151
Levin Hornischer @levinhornischer.bsky.social · 01/08/2025
Very happy to have co-organized our summer school with an amazing team 🥳 Thank you to the speakers and participants alike for making this such a nice event!
031
Reposted by Levin Hornischer
Franz Berto @franzberto.bsky.social · 21/07/2025
Take that, Alan!
041
Reposted by Levin Hornischer
Franz Berto @franzberto.bsky.social · 26/06/2025
So currently our paper is the 2nd most read in Mind. This'd be all good and well, if we hadn't been beaten by... Some bloke's 75 year old stuff. 😎 academic.oup.com/mind/advance... @levinhornischer.bsky.social @standrewsphil.bsky.social @oupphilosophy.bsky.social
271
Reposted by Levin Hornischer
Franz Berto @franzberto.bsky.social · 28/05/2025
'The Logic of Dynamical Systems Is Relevant' is out! (Or, How I Stopped Worrying and Learned to Love Relevant Logic Again.) Download here, Open Access of course: academic.oup.com/mind/advance... @levinhornischer.bsky.social @standrewsphil.bsky.social
272
Levin Hornischer @levinhornischer.bsky.social · 21/05/2025
New preprint, with Hannes Leitgeb @lmu-mcmp.bsky.social: "Explaining Neural Networks with Reasons". ➡️We propose a new faithful and scalable interpretability method for neural networks. 💡Based on a novel mathematico-philosophical theory of reasons. arxiv.org/abs/2505.14424 philpapers.org/rec/HORENN
Thousands of small dots in 10 different colors on a white background. Dots with the same color form clusters.

A dot represents an input-label pair ('possible world'). Close-by dots are possible worlds that are similar according to the neural network's reasons structure ('internally similar'). The fact that they form monochromatic clusters means that internally similar worlds typically are also externally similar, i.e., have the same label. In this case, there are 10 labels represented by the 10 colors. So the neural network's reasons structure matches that of the world.
042
Levin Hornischer @levinhornischer.bsky.social · 03/03/2025
New paper in Notre Dame J. Formal Logic: 'Iterating Both and Neither: With Applications to the Paradoxes' ❓What if we keep on adding new truth-values 'neither a nor b' and 'both a and b'? ➡️Fun math and fresh ideas for paradoxes! Paper: doi.org/10.1215/0029... Preprint: philpapers.org/rec/HORIBA
The algebra of truth values obtained after iterating 'both' and 'neither' two times. 

It consists of 16 truth values shown as black dots on a white background. Some are connected by solid lines, which indicates that, in the algebra, one is less-or-equal to the other. 

There is a small text next to each node describing the truth-value. For example, the node closest to the bottom left corner says { {0,1}_n, {0} }_n. This is the following truth value: Neither 'neither true nor false' nor 'false'. The other nodes are variations thereof.
030
Levin Hornischer @levinhornischer.bsky.social · 29/01/2025
It's been great fun working on this with @franzberto.bsky.social! Read on if you like dynamical systems and/or logic 🙂 ❓What's the logic of perturbation conditionals: ➡️ If we perturb the system into a state where A, it will evolve into a state where B. 💡Surprisingly, it's relevant logic!
060