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As for Shakespeare, a hard-fought debate has emerged about Moli\`ere, a supposedly uneducated actor who, according to some, could not have written the masterpieces attributed to him. In the past decades, the century-old thesis according to…

Computation and Language · Computer Science 2020-01-07 Florian Cafiero , Jean-Baptiste Camps

Automatic Authorship Attribution (AAA) is the result of applying tools and techniques from Digital Humanities to authorship attribution studies. Through a quantitative and statistical approach this discipline can draw further conclusions…

Computation and Language · Computer Science 2023-04-04 Miguel Cavadas , Pablo Gamallo

The versified play Henry VIII is nowadays widely recognized to be a collaborative work not written solely by William Shakespeare. We employ combined analysis of vocabulary and versification together with machine learning techniques to…

Computation and Language · Computer Science 2020-06-30 Petr Plecháč

Research into the stylistic properties of translations is an issue which has received some attention in computational stylistics. Previous work by Rybicki (2006) on the distinguishing of character idiolects in the work of Polish author…

Computation and Language · Computer Science 2015-01-06 Gerard Lynch , Carl Vogel

A growing body of computational studies shows that simple machine learning agents converge to cooperative behaviors in social dilemmas, such as collusive price-setting in oligopoly markets, raising questions about what drives this outcome.…

Computer Science and Game Theory · Computer Science 2025-12-23 Quentin Bertrand , Juan Duque , Emilio Calvano , Gauthier Gidel

This paper is our attempt at answering a twofold question covering the areas of ethics and authorship analysis. Firstly, since the methods used for performing authorship analysis imply that an author can be recognized by the content he or…

Computation and Language · Computer Science 2022-07-20 Jagna Nieuwazny , Karol Nowakowski , Michal Ptaszynski , Fumito Masui

Double-blind peer review is considered a pillar of academic research because it is perceived to ensure a fair, unbiased, and fact-centered scientific discussion. Yet, experienced researchers can often correctly guess from which research…

Computation and Language · Computer Science 2023-07-04 Leonard Bauersfeld , Angel Romero , Manasi Muglikar , Davide Scaramuzza

We study the problem of learning k-juntas given access to examples drawn from a number of different product distributions. Thus we wish to learn a function f : {-1,1}^n -> {-1,1} that depends on k (unknown) coordinates. While the best known…

Machine Learning · Computer Science 2008-04-25 Jan Arpe , Elchanan Mossel

Inspired by the authorship controversy of Dream of the Red Chamber and the application of machine learning in the study of literary stylometry, we develop a rigorous new method for the mathematical analysis of authorship by testing for a…

Machine Learning · Computer Science 2014-12-22 Xianfeng Hu , Yang Wang , Qiang Wu

This article points out some surprising similarities between a 1944 study by Georgy Udny Yule and modern approaches to authorship attribution.

Computation and Language · Computer Science 2020-12-10 Petr Plechac

Galileo Galilei was a skilled writer and explored several genres, from the well-known scientific writings (often in the form of dialogs) to theater and poetry. His last published poem, "Mostro son io" (A Monster am I), is a riddle written…

History and Philosophy of Physics · Physics 2022-05-05 Giovanni Busetto , Alessandro De Angelis

Conducting a research project with multiple participants is a complex task that involves not only scientific but also multiple social, political, and psychological interactions. This complexity becomes particularly evident when it comes to…

Digital Libraries · Computer Science 2024-06-18 Teddy Lazebnik , Stephan Beck , Labib Shami

In this paper we study the online learning problem involving rested and restless multiarmed bandits with multiple plays. The system consists of a single player/user and a set of K finite-state discrete-time Markov chains (arms) with unknown…

Optimization and Control · Mathematics 2015-03-25 Cem Tekin , Mingyan Liu

Inspired by Martin Fr\"anzle's persistent and influential work on capturing and handling delay inherent to cyber-physical systems in the formal verification of such systems, we study timed games where controllable actions do not take effect…

Formal Languages and Automata Theory · Computer Science 2025-02-27 Kim G. Larsen , Martin Zimmermann

Literary critics often attempt to uncover meaning in a single work of literature through careful reading and analysis. Applying natural language processing methods to aid in such literary analyses remains a challenge in digital humanities.…

Machine Learning · Computer Science 2019-04-18 Shufan Wang , Mohit Iyyer

We demonstrate the existence of a non-terminating game of Beggar-My-Neighbor, discovered by lead author Brayden Casella. We detail the method for constructing this game and identify a cyclical structure of 62 tricks that is reached by 30…

Understanding invertibility in restricted mis\`ere play has been challenging; in particular, the possibility of non-conjugate inverses posed difficulties. Advances have been made in a few specific universes, but a general theorem was…

Combinatorics · Mathematics 2024-10-10 Alfie Davies , Vishal Yadav

Do bilingual Russian-French authors of the end of the twentieth century such as Andre\"i Makine, Val\'ery Afanassiev, Vladimir F\'edorovski, Iegor Gran, Luba Jurgenson have common stylistic traits in the novels they wrote in French? Can we…

Computation and Language · Computer Science 2023-03-27 Margarita Makarova

The goal of this study was to investigate the translate-ability of creative works into other domains. We tested whether people were able to recognize which works of art were inspired by which pieces of music. Three expert painters created…

Neurons and Cognition · Quantitative Biology 2019-07-11 Apara Ranjan , Liane Gabora , Brian O'Connor

In reinforcement learning (RL), the term self-play describes a kind of multi-agent learning (MAL) that deploys an algorithm against copies of itself to test compatibility in various stochastic environments. As is typical in MAL, the…

Computer Science and Game Theory · Computer Science 2021-07-08 Anthony DiGiovanni , Ethan C. Zell
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