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Game semantics describe the interactive behavior of proofs by interpreting formulas as games on which proofs induce strategies. Such a semantics is introduced here for capturing dependencies induced by quantifications in first-order…

Logic in Computer Science · Computer Science 2009-08-28 Samuel Mimram

An evolutionary model for emergence of diversity in language is developed. We investigated the effects of two real life observations, namely, people prefer people that they communicate with well, and people interact with people that are…

Computation and Language · Computer Science 2017-07-05 Ibrahim Cimentepe , Haluk O. Bingol

Scaling large language models (LLMs) leads to an emergent capacity to learn in-context from example demonstrations. Despite progress, theoretical understanding of this phenomenon remains limited. We argue that in-context learning relies on…

Computation and Language · Computer Science 2023-03-15 Michael Hahn , Navin Goyal

We explore using latent natural language instructions as an expressive and compositional representation of complex actions for hierarchical decision making. Rather than directly selecting micro-actions, our agent first generates a latent…

Artificial Intelligence · Computer Science 2019-10-03 Hengyuan Hu , Denis Yarats , Qucheng Gong , Yuandong Tian , Mike Lewis

Figurative language is ubiquitous in English. Yet, the vast majority of NLP research focuses on literal language. Existing text representations by design rely on compositionality, while figurative language is often non-compositional. In…

Computation and Language · Computer Science 2022-03-03 Tuhin Chakrabarty , Yejin Choi , Vered Shwartz

The interactive game theoretical approach to the description of perception processes is proposed. The subject is treated formally in terms of a new class of the verbalizable interactive games which are called the perception games. An…

History and Overview · Mathematics 2007-05-23 Denis V. Juriev

Much of the success of modern language models depends on finding a suitable prompt to instruct the model. Until now, it has been largely unknown how variations in the linguistic expression of prompts affect these models. This study…

Computation and Language · Computer Science 2026-02-17 Jan Philip Wahle , Terry Ruas , Yang Xu , Bela Gipp

This paper introduces new methods based on exponential families for modeling the correlations between words in text and speech. While previous work assumed the effects of word co-occurrence statistics to be constant over a window of several…

cmp-lg · Computer Science 2008-02-03 Doug Beeferman , Adam Berger , John Lafferty

Iterated reference games - in which players repeatedly pick out novel referents using language - present a test case for agents' ability to perform context-sensitive pragmatic reasoning in multi-turn linguistic environments. We tested…

Computation and Language · Computer Science 2025-11-07 Alvin Wei Ming Tan , Ben Prystawski , Veronica Boyce , Michael C. Frank

This work investigates how personality expression and embodiment affect personality perception and learning in educational conversational agents. We extend an existing personality-driven conversational agent framework by integrating…

Computation and Language · Computer Science 2024-07-17 Sinan Sonlu , Bennie Bendiksen , Funda Durupinar , Uğur Güdükbay

Game semantics describe the interactive behavior of proofs by interpreting formulas as games on which proofs induce strategies. Such a semantics is introduced here for capturing dependencies induced by quantifications in first-order…

Logic in Computer Science · Computer Science 2011-01-27 Samuel Mimram

Multi-agent reinforcement learning offers a way to study how communication could emerge in communities of agents needing to solve specific problems. In this paper, we study the emergence of communication in the negotiation environment, a…

Artificial Intelligence · Computer Science 2018-04-12 Kris Cao , Angeliki Lazaridou , Marc Lanctot , Joel Z Leibo , Karl Tuyls , Stephen Clark

Large language models, comprising billions of parameters and pre-trained on extensive web-scale corpora, have been claimed to acquire certain capabilities without having been specifically trained on them. These capabilities, referred to as…

Computation and Language · Computer Science 2024-07-16 Sheng Lu , Irina Bigoulaeva , Rachneet Sachdeva , Harish Tayyar Madabushi , Iryna Gurevych

In this paper, we study the technical problem of developing conversational agents that can quickly adapt to unseen tasks, learn task-specific communication tactics, and help listeners finish complex, temporally extended tasks. We find that…

Human-Computer Interaction · Computer Science 2024-01-08 Xiaoran Wu , Yipeng Kang

We present an investigation into how representational losses can affect the drawings produced by artificial agents playing a communication game. Building upon recent advances, we show that a combination of powerful pretrained encoder…

Machine Learning · Computer Science 2022-01-21 Daniela Mihai , Jonathon Hare

The theory of learning in games has extensively studied situations where agents respond dynamically to each other by optimizing a fixed utility function. However, in real situations, the strategic environment varies as a result of past…

Computer Science and Game Theory · Computer Science 2022-07-15 Brandon C. Collins , Shouhuai Xu , Philip N. Brown

Emergent Communication (EC) provides a unique window into the language systems that emerge autonomously when agents are trained to jointly achieve shared goals. However, it is difficult to interpret EC and evaluate its relationship with…

Computation and Language · Computer Science 2025-02-12 Ido Levy , Orr Paradise , Boaz Carmeli , Ron Meir , Shafi Goldwasser , Yonatan Belinkov

Evidence that visual communication preceded written language and provided a basis for it goes back to prehistory, in forms such as cave and rock paintings depicting traces of our distant ancestors. Emergent communication research has sought…

Computer Vision and Pattern Recognition · Computer Science 2021-11-10 Daniela Mihai , Jonathon Hare

Repeated interaction between individuals is the main mechanism for maintaining cooperation in social dilemma situations. Variants of tit-for-tat (repeating the previous action of the opponent) and the win-stay lose-shift strategy are known…

Populations and Evolution · Quantitative Biology 2011-11-08 Shoma Tanabe , Naoki Masuda

Despite important progress, conversational systems often generate dialogues that sound unnatural to humans. We conjecture that the reason lies in their different training and testing conditions: agents are trained in a controlled "lab"…

Computation and Language · Computer Science 2021-04-01 Alberto Testoni , Raffaella Bernardi
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