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Experimental science usually relies on laboratory procedures that, after finitely many steps, terminate with numerical reports on physical quantities. This paper argues that such procedures can be understood as algorithmic once the…

History and Philosophy of Physics · Physics 2026-05-06 Isaac Pérez Castillo

We discuss the possibility of constructing a function that validates the definition or not definition of the partial recursive functions of one variable. This is a topic in computability theory, which was first approached by Alan M. Turing…

Logic in Computer Science · Computer Science 2024-04-16 Abel Luis Peralta

In this paper we present an introduction to the area of computability in dynamical systems. This is a fairly new field which has received quite some attention in recent years. One of the central questions in this area is if relevant…

Dynamical Systems · Mathematics 2023-11-08 Michael Burr , Christian Wolf

A sequence of non-negative integers is exactly realizable as the fixed point counts sequence of a dynamical system if and only if it gives rise to a sequence of non-negative orbit counts. This provides a simple realizability criterion based…

Dynamical Systems · Mathematics 2009-05-11 Natascha Neumaerker

This article is a fundamental study in computable measure theory. We use the framework of TTE, the representation approach, where computability on an abstract set X is defined by representing its elements with concrete "names", possibly…

Logic in Computer Science · Computer Science 2015-07-01 Klaus Weihrauch , Nazanin Tavana-Roshandel

We recall from previous work a model-independent framework of computational complexity theory. Notably for the present paper, the framework allows formalization of the issues of precision that present themselves when one considers physical,…

Computational Complexity · Computer Science 2014-04-02 Ed Blakey

In this paper we present a semantics for a linear algebraic lambda-calculus based on realizability. This semantics characterizes a notion of unitarity in the system, answering a long standing issue. We derive from the semantics a set of…

Logic in Computer Science · Computer Science 2019-12-06 Alejandro Díaz-Caro , Mauricio Guillermo , Alexandre Miquel , Benoît Valiron

We study a classical realizability model (in the sense of J.-L. Krivine) arising from a model of untyped lambda calculus in coherence spaces. We show that this model validates countable choice using bar recursion and bar induction.

Category Theory · Mathematics 2019-03-14 Thomas Streicher

Learning structured representations of the visual world in terms of objects promises to significantly improve the generalization abilities of current machine learning models. While recent efforts to this end have shown promising empirical…

Machine Learning · Computer Science 2023-05-24 Jack Brady , Roland S. Zimmermann , Yash Sharma , Bernhard Schölkopf , Julius von Kügelgen , Wieland Brendel

We study relative precompleteness in the context of the theory of numberings, and relate this to a notion of lowness. We introduce a notion of divisibility for numberings, and use it to show that for the class of divisible numberings,…

Logic · Mathematics 2022-11-24 Anton Golov , Sebastiaan A. Terwijn

A universal Turing machine is a powerful concept - a single device can compute any function that is computable. A universal spin model, similarly, is a class of physical systems whose low energy behavior simulates that of any spin system.…

Computational Complexity · Computer Science 2024-06-25 Tomáš Gonda , Gemma De les Coves

We call an $\alpha \in \mathbb{R}$ regainingly approximable if there exists a computable nondecreasing sequence $(a_n)_n$ of rational numbers converging to $\alpha$ with $\alpha - a_n < 2^{-n}$ for infinitely many $n \in \mathbb{N}$. We…

Logic · Mathematics 2026-02-11 Peter Hertling , Rupert Hölzl , Philip Janicki

We introduce infinite time computable model theory, the computable model theory arising with infinite time Turing machines, which provide infinitary notions of computability for structures built on the reals R. Much of the finite time…

Logic · Mathematics 2007-05-23 Joel David Hamkins , Russell Miller , Daniel Seabold , Steve Warner

We define a generalization of the Turing machine that computes on general sets. Our main theorem states that the class of generalized Turing machine computable functions and the class of Set Recursive functions coincide.

Logic · Mathematics 2021-03-26 Garvin Melles

In this dissertation we provide mathematical evidence that the concept of learning can be used to give a new and intuitive computational semantics of classical proofs in various fragments of Predicative Arithmetic. First, we extend Kreisel…

Logic · Mathematics 2015-03-17 Federico Aschieri

We examine various categorical structures that can and cannot be constructed. We show that total computable functions can be mimicked by constructible functors. More generally, whatever can be done by a Turing machine can be constructed by…

Computational Complexity · Computer Science 2018-10-01 Noson S. Yanofsky

We present tools for analysing ordinals in realizability models of classical set theory built using Krivine's technique for realizability. This method uses a conservative extension of $ZF$ known as $ZF_{\varepsilon}$, where two membership…

Logic · Mathematics 2025-04-07 Laura Fontanella , Richard Matthews

Relative realizability toposes satisfy a universal property that involves regular functors to other categories. We use this universal property to define what relative realizability categories are, when based on other categories than of the…

Logic · Mathematics 2013-08-05 Wouter Pieter Stekelenburg

In generic realizability for set theories, realizers treat unbounded quantifiers generically. To this form of realizability, we add another layer of extensionality by requiring that realizers ought to act extensionally on realizers, giving…

Logic · Mathematics 2020-12-22 Emanuele Frittaion , Michael Rathjen

We provide a novel notion of what it means to be interpretable, looking past the usual association with human understanding. Our key insight is that interpretability is not an absolute concept and so we define it relative to a target model,…

Artificial Intelligence · Computer Science 2018-10-30 Amit Dhurandhar , Vijay Iyengar , Ronny Luss , Karthikeyan Shanmugam