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Humans possess the unique ability to communicate emotions through language. Although concepts like anger or awe are abstract, there is a shared consensus about what these English emotion words mean. This consensus may give the impression…

Computation and Language · Computer Science 2021-08-11 Aotao Xu , Jennifer E. Stellar , Yang Xu

Geographic tongue (GT) is a benign condition affecting approximately 2% of the population, whereby the papillae covering the upper part of the tongue are lost due to a slowly expanding inflammation. The resultant dynamical appearance of the…

Medical Physics · Physics 2015-04-17 Gabriel Seiden , Sofia Curland

Synchronisation and stability under periodic oscillatory driving are well-understood, but little is known about the effects of aperiodic driving, despite its abundance in nature. Here, we consider oscillators subject to driving with slowly…

Adaptation and Self-Organizing Systems · Physics 2018-05-09 Maxime Lucas , Julian Newman , Aneta Stefanovska

Generative AI systems have entered everyday academic, professional, and personal life with remarkable speed, yet most users encounter them as mysterious artifacts rather than intelligible systems. This chapter discusses large language…

Computers and Society · Computer Science 2026-04-21 John T. Behrens

This study proposes a multi-agent language framework that enables continual strategy evolution without fine-tuning the language model's parameters. The core idea is to liberate the latent vectors of abstract concepts from traditional static…

Machine Learning · Computer Science 2026-01-06 Wenlong Tang

The Random Language Model (De Giuli 2019) is an ensemble of stochastic context-free grammars, quantifying the syntax of human and computer languages. The model suggests a simple picture of first language learning as a type of annealing in…

Disordered Systems and Neural Networks · Physics 2024-12-10 Fatemeh Lalegani , Eric De Giuli

Inspired by striking advances in language modeling, there has recently been much interest in developing autogressive sequence models that are amenable to analytical study. In this short note, we consider extensions of simple disordered…

Disordered Systems and Neural Networks · Physics 2025-12-18 Jacob A. Zavatone-Veth , Cengiz Pehlevan

Linguistic laws constitute one of the quantitative cornerstones of modern cognitive sciences and have been routinely investigated in written corpora, or in the equivalent transcription of oral corpora. This means that inferences of…

Physics and Society · Physics 2016-10-11 Ivan Gonzalez Torre , Bartolo Luque , Lucas Lacasa , Jordi Luque , Antoni Hernandez-Fernandez

The internal representations learned by language models consistently exhibit striking geometric structure: calendar months organize into a circle, historical years form a smooth one-dimensional manifold, and cities' latitudes and longitudes…

Machine Learning · Computer Science 2026-02-27 Dhruva Karkada , Daniel J. Korchinski , Andres Nava , Matthieu Wyart , Yasaman Bahri

It is well established that glassy materials can undergo aging, i.e., their properties gradually change over time. There is rapidly growing evidence that dense active and living systems also exhibit many features of glassy behavior, but it…

Statistical Mechanics · Physics 2022-03-29 Giulia Janzen , Liesbeth M. C. Janssen

We study the long-time behaviour of a population structured by age and a phenotypic trait under a selection-mutation dynamics. By analysing spectral properties of a family of positive operators on measure spaces, we show the existence of…

Analysis of PDEs · Mathematics 2018-05-28 Tristan Roget

Existing theories for the evolution of aging and death treat senescence as a side-effect of strong selection for fertility. These theories are well-developed mathematically, but fit poorly with emerging experimental data. The data suggest…

Populations and Evolution · Quantitative Biology 2007-05-23 Josh Mitteldorf

Humans convey their intentions through the usage of both verbal and nonverbal behaviors during face-to-face communication. Speaker intentions often vary dynamically depending on different nonverbal contexts, such as vocal patterns and…

Computation and Language · Computer Science 2018-11-27 Yansen Wang , Ying Shen , Zhun Liu , Paul Pu Liang , Amir Zadeh , Louis-Philippe Morency

Hierarchies are the hidden backbones of complex systems and their analysis allows for a deeper understanding of their structure and how they evolve. We consider languages also to be complex adaptive systems with several intricate networks…

Computation and Language · Computer Science 2023-07-18 Babak Ravandi , Valentina Concu

Language changes over time, including in the hate speech domain, which evolves quickly following social dynamics and cultural shifts. While NLP research has investigated the impact of language evolution on model training and has proposed…

Computation and Language · Computer Science 2025-06-17 Chiara Di Bonaventura , Barbara McGillivray , Yulan He , Albert Meroño-Peñuela

It is offered to consider word meanings changes in diachrony as semicontinuous random walk with reflecting and swallowing screens. The basic characteristics of word life cycle are defined. Verification of the model has been realized on the…

Computation and Language · Computer Science 2007-05-23 Victor Kromer

This paper introduces how human languages can be studied in light of recent development of network theories. There are two directions of exploration. One is to study networks existing in the language system. Various lexical networks can be…

Computation and Language · Computer Science 2007-05-23 Jinyun KE

I propose a novel Ising-like model of language evolution. In a simple way, Ising-like models represent the countervailing tendencies towards convergence and change present in language evolution. In the ordinary Ising-model, a node on a…

Multiagent Systems · Computer Science 2023-05-24 Conor Houghton

Language carries thought and coordination among humans but rarely reaches further along the spectrum of diverse intelligence. Yet non-neural systems -- from gene regulatory networks and microbial consortia to fungi -- are increasingly…

Machine Learning · Computer Science 2026-05-19 Yanbo Zhang , Michael Levin

The Fundamental Theorem of Language Change (Yang, 2000) implies the impossibility of stable variation in the Variational Learning framework, but only in the special case where two, and not more, grammatical variants compete. Introducing the…

Artificial Intelligence · Computer Science 2020-03-16 Henri Kauhanen
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