English
Related papers

Related papers: Braid is undecidable

200 papers

Hybrid branching-time logics are introduced as extensions of CTL-like logics with state variables and the downarrow-binder. Following recent work in the linear framework, only logics with a single variable are considered. The expressive…

Logic in Computer Science · Computer Science 2007-08-14 Volker Weber

Among the fundamental questions in computer science, at least two have a deep impact on mathematics. What can computation compute? How many steps does a computation require to solve an instance of the 3-SAT problem? Our work addresses the…

Computational Complexity · Computer Science 2024-06-21 Michael Stephen Fiske

The Turing Machine has two implicit properties that depend on its underlying notion of computing: the format is fully determinate and computations are information preserving. Distributed representations lack these properties and cannot be…

Artificial Intelligence · Computer Science 2018-03-29 Luis A. Pineda

We introduce higher-dimensional cubical sliding puzzles that are inspired by the classical 15 Puzzle from the 1880s. In our puzzles, on a $d$-dimensional cube, a labeled token can be slid from one vertex to another if it is topologically…

Combinatorics · Mathematics 2023-07-27 Moritz Beyer , Stefano Mereta , Érika Roldán , Peter Voran

We introduce the notion of universal memcomputing machines (UMMs): a class of brain-inspired general-purpose computing machines based on systems with memory, whereby processing and storing of information occur on the same physical location.…

Neural and Evolutionary Computing · Computer Science 2015-12-17 Fabio L. Traversa , Massimiliano Di Ventra

We discuss the accuracy of the attribution commonly given to Turing's 1936 paper "On computable numbers..." for the computable undecidability of the halting problem, coming eventually to a nuanced conclusion.

Logic · Mathematics 2025-12-01 Joel David Hamkins , Theodor Nenu

Bounding volumes are an established concept in computer graphics and vision tasks but have seen little change since their early inception. In this work, we study the use of neural networks as bounding volumes. Our key observation is that…

Graphics · Computer Science 2024-05-27 Stephanie Wenxin Liu , Michael Fischer , Paul D. Yoo , Tobias Ritschel

This paper analyzes infinitary nondeterministic computability theory. The main result is D $\ne$ ND $\cap$ coND where D is the class of sets decidable by infinite time Turing machines and ND is the class of sets recognizable by a…

Logic · Mathematics 2023-12-27 Erin Carmody

The last century saw dramatic challenges to the Laplacian predictability which had underpinned scientific research for around 300 years. Basic to this was Alan Turing's 1936 discovery (along with Alonzo Church) of the existence of…

Logic · Mathematics 2012-06-11 S. Barry Cooper

We initiate the study of the phantom version of Maker-Breaker positional games. In a phantom game, the moves of one of the players are hidden from the other player, who still has the complete information. We look at the biased $(a:b)$…

Combinatorics · Mathematics 2025-07-31 Dennis Clemens , Fabian Hamann , Mirjana Mikalački , Yannick Mogge , Miloš Stojaković

In this paper we define and study the billiard problem on bounded regions on surfaces of constant curvature. We show that this problem defines a 2-dimensional conservative and reversible dynamical system, defined by a Twist diffeomorphism,…

Dynamical Systems · Mathematics 2016-06-14 Luciano Coutinho dos Santos , Sonia Pinto-de-Carvalho

Our main technical contribution is a polynomial-time determinisation procedure for history-deterministic B\"uchi automata, which settles an open question of Kuperberg and Skrzypczak, 2015. A key conceptual contribution is the lookahead…

Formal Languages and Automata Theory · Computer Science 2026-05-28 Rohan Acharya , Marcin Jurdziński , Keya Prakash

Recent computational experiments have demonstrated the spontaneous emergence of self-replicating programs across universal automata, artificial chemistries, and self-modifying code systems. Remarkably, these results arise without explicit…

Logic in Computer Science · Computer Science 2026-01-27 Aritra Sarkar

Robots can influence people to accomplish their tasks more efficiently: autonomous cars can inch forward at an intersection to pass through, and tabletop manipulators can go for an object on the table first. However, a robot's ability to…

Robotics · Computer Science 2024-09-19 Ravi Pandya , Changliu Liu , Andrea Bajcsy

Infinite games where several players seek to coordinate under imperfect information are deemed to be undecidable, unless the information is hierarchically ordered among the players. We identify a class of games for which joint winning…

Computer Science and Game Theory · Computer Science 2015-07-29 Dietmar Berwanger , Anup Basil Mathew

We extend in a natural way the operation of Turing machines to infinite ordinal time, and investigate the resulting supertask theory of computability and decidability on the reals. The resulting computability theory leads to a notion of…

Logic · Mathematics 2007-05-23 Joel David Hamkins , Andy Lewis

This paper introduces a blazingly fast, no-loss expert system for Tic Tac Toe using Decision Trees called T3DT, that tries to emulate human gameplay as closely as possible. It does not make use of any brute force, minimax or evolutionary…

Artificial Intelligence · Computer Science 2021-02-16 Aditya Jyoti Paul

We study a game puzzle that has enjoyed recent popularity among mathematicians, computer scientist, coding theorists and even the mass press. In the game, $n$ players are fitted with randomly assigned colored hats. Individual players can…

Information Theory · Computer Science 2007-07-16 Hendrik W. Lenstra , Gadiel Seroussi

This paper is about turedos, which are Turing machine whose head can move in the plane (or in a higher-dimensional space) but only in a selfavoiding way, by putting marks (letters) on visited positions and moving only to unmarked, therefore…

Computational Complexity · Computer Science 2022-05-10 Samuel Nalin , Guillaume Theyssier

Machine unlearning is an emerging technique that aims to remove the influence of specific data from trained models, thereby enhancing privacy protection. However, recent research has uncovered critical privacy vulnerabilities, showing that…

Cryptography and Security · Computer Science 2026-01-29 Lulu Xue , Shengshan Hu , Wei Lu , Ziqi Zhou , Yufei Song , Jianhong Cheng , Minghui Li , Yanjun Zhang , Leo Yu Zhang