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  • More at Stake: How Payoff and Language Shape LLM Agent Strategies in Cooperation Dilemmas
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More at Stake: How Payoff and Language Shape LLM Agent Strategies in Cooperation Dilemmas

Fuente: arXiv
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Bibliographic Details
Main Authors: Huynh, Trung-Kiet, Duy-Minh, Dao-Sy, Cao, Thanh-Bang, Le, Phong-Hao, Nguyen, Hong-Dan, Quy, Nguyen Lam Phu, Nguyen-Vo, Minh-Luan, Pham, Hong-Phat, Hoa, Pham Phu, Than, Thien-Kim, Tran, Chi-Nguyen, Tran, Huy, Tran-Le, Gia-Thoai, Buscemi, Alessio, Trang, Le Hong, Han, The Anh
Format: Preprint
Published: 2026
Subjects:
Artificial Intelligence
Computation and Language
Computer Science and Game Theory
Machine Learning
Multiagent Systems
91A26, 68T05
I.2.11; I.2.6
Online Access:
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Internet

https://arxiv.org/abs/2601.19082

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