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As humans, we experience the world with all our senses or modalities (sound, sight, touch, smell, and taste). We use these modalities, particularly sight and touch, to convey and interpret specific meanings. Multimodal expressions are…

Machine Learning · Computer Science 2022-05-17 Anirudh Sundar , Larry Heck

Most animals possess the ability to actuate a vast diversity of movements, ostensibly constrained only by morphology and physics. In practice, however, a frequent assumption in behavioral science is that most of an animal's activities can…

Quantitative Methods · Quantitative Biology 2014-08-13 Gordon J. Berman , Daniel M. Choi , William Bialek , Joshua W. Shaevitz

Socially fluent agentic AI can now participate in online interaction in ways that resemble ordinary human conversation, potentially weakening people's ability to infer who is human from conversational signals alone. We tested this…

Human-Computer Interaction · Computer Science 2026-05-25 Lixiang Yan , Yueqiao Jin , Xibin Han , Dragan Gašević

As artificial intelligence (AI) models become an integral part of everyday life, our interactions with them shift from purely functional exchanges to more relational experiences. For these experiences to be successful, artificial agents…

Computation and Language · Computer Science 2025-04-15 Sandra C. Matz , Heinrich Peters , Moran Cerf , Eric Grunenberg , Paul W. Eastwick , Mitja D. Back , Eli J. Finkel

We use Monte Carlo simulations and assumptions from evolutionary game theory in order to study the evolution of words and the population dynamics of a system comprising two interacting species which initially speak two different languages.…

Statistical Mechanics · Physics 2009-11-11 Kosmas Kosmidis , John M. Halley , Panos Argyrakis

Social networks have turned out to be of fundamental importance both for our understanding human sociality and for the design of digital communication technology. However, social networks are themselves based on dyadic relationships and we…

Physics and Society · Physics 2012-04-26 Vasyl Palchykov , Kimmo Kaski , János Kertész , Albert-László Barabási , Robin I. M. Dunbar

Humans understand language based on the rich background knowledge about how the physical world works, which in turn allows us to reason about the physical world through language. In addition to the properties of objects (e.g., boats require…

Computation and Language · Computer Science 2019-08-09 Maxwell Forbes , Ari Holtzman , Yejin Choi

Cultural learning is a unique human capacity essential for a wide range of adaptations. Researchers have argued that folktales have the pedagogical function of transmitting the essential information for the environment. The most important…

Computation and Language · Computer Science 2019-12-19 Yo Nakawake , Kosuke Sato

Dispersal is ubiquitous throughout the tree of life: factors selecting for dispersal include kin competition, inbreeding avoidance and spatiotemporal variation in resources or habitat suitability. These factors differ in whether they…

Populations and Evolution · Quantitative Biology 2018-11-28 Xiang-Yi Li , Hanna Kokko

As early indicated by Charles Darwin, languages behave and change very much like living species. They display high diversity, differentiate in space and time, emerge and disappear. A large body of literature has explored the role of…

Populations and Evolution · Quantitative Biology 2010-04-27 Ricard V. Solé , Bernat Corominas-Murtra , Jordi Fortuny

In spoken dialogue systems, we aim to deploy artificial intelligence to build automated dialogue agents that can converse with humans. Dialogue systems are increasingly being designed to move beyond just imitating conversation and also…

Computation and Language · Computer Science 2021-11-03 Atharv Singh Patlan , Shiven Tripathi , Shubham Korde

Gene expression levels are important molecular quantitative traits that link genotypes to molecular functions and fitness. In Drosophila, population-genetic studies in recent years have revealed substantial adaptive evolution at the genomic…

Populations and Evolution · Quantitative Biology 2015-04-06 Armita Nourmohammad , Joachim Rambeau , Torsten Held , Johannes Berg , Michael Lassig

Learning to communicate through interaction, rather than relying on explicit supervision, is often considered a prerequisite for developing a general AI. We study a setting where two agents engage in playing a referential game and, from…

Machine Learning · Computer Science 2017-11-07 Serhii Havrylov , Ivan Titov

Recent contributions address the problem of language coexistence as that of two species competing to aggregate speakers, thus focusing on the dynamics of linguistic traits across populations. They draw inspiration from physics and biology…

Physics and Society · Physics 2017-04-03 Luís F Seoane , Jorge Mira

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 origin and development of consciousness is poorly understood. Although it is clearly a naturalistic phenomenon evolved through Darwinian evolution, explaining it in terms of physicochemical, neural, or symbolic mechanisms remains…

Neurons and Cognition · Quantitative Biology 2014-10-20 J. H. van Hateren

Human communication is inherently multimodal, involving a combination of verbal and non-verbal cues such as speech, facial expressions, and body gestures. Modeling these behaviors is essential for understanding human interaction and for…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Changan Chen , Juze Zhang , Shrinidhi K. Lakshmikanth , Yusu Fang , Ruizhi Shao , Gordon Wetzstein , Li Fei-Fei , Ehsan Adeli

Large language models (LLMs) are increasingly used in medicine and clinical workflows, yet we know little about their decision and affective profiles. Taking a historically informed outlook on the future, we treated successive OpenAI models…

Computers and Society · Computer Science 2026-01-22 Zhihao Wang , Yiyang Liu , Ting Wang , Zhiyuan Liu

The similarity of the evolution of human languages (or alphabets, bird songs, >...) to biological evolution of species is utilized to study with up to $10^9$ people the rise and fall of languages either by macroscopic differential equations…

Physics and Society · Physics 2009-11-11 Dietrich Stauffer , Christian Schulze

Human languages have evolved to be structured through repeated language learning and use. These processes introduce biases that operate during language acquisition and shape linguistic systems toward communicative efficiency. In this paper,…

Computation and Language · Computer Science 2024-12-16 Tom Kouwenhoven , Max Peeperkorn , Tessa Verhoef