中文
相关论文

相关论文: Escalation Risks from Language Models in Military …

200 篇论文

To some, the advent of artificial intelligence (AI) promises better decision-making and increased military effectiveness while reducing the influence of human error and emotions. However, there is still debate about how AI systems,…

计算机与社会 · 计算机科学 2024-10-04 Max Lamparth , Anthony Corso , Jacob Ganz , Oriana Skylar Mastro , Jacquelyn Schneider , Harold Trinkunas

Wargames are simulations of conflicts in which participants' decisions influence future events. While casual wargaming can be used for entertainment or socialization, serious wargaming is used by experts to explore strategic implications of…

U.S. national security customers have begun to utilize large language models, including enterprise versions of ``off-the-shelf'' models (e.g., ChatGPT) familiar to the public. This uptake will likely accelerate. However, recent studies…

新兴技术 · 计算机科学 2025-08-06 Sebastian Elbaum , Jonathan Panter

Large language models (LLMs) are increasingly proposed as agents in strategic decision environments, yet their behavior in structured geopolitical simulations remains under-researched. We evaluate six popular state-of-the-art LLMs alongside…

计算与语言 · 计算机科学 2026-03-03 Veronika Solopova , Viktoria Skorik , Maksym Tereshchenko , Alina Haidun , Ostap Vykhopen

As autonomous agents become more prevalent, understanding their collective behaviour in strategic interactions is crucial. This study investigates the emergent cooperative tendencies of systems of Large Language Model (LLM) agents in a…

多智能体系统 · 计算机科学 2025-01-28 Richard Willis , Yali Du , Joel Z Leibo , Michael Luck

This paper investigates the strategic decision-making capabilities of three Large Language Models (LLMs): GPT-3.5, GPT-4, and LLaMa-2, within the framework of game theory. Utilizing four canonical two-player games -- Prisoner's Dilemma,…

计算机科学与博弈论 · 计算机科学 2023-09-13 Nunzio Lorè , Babak Heydari

The emergence of Large Language Models (LLMs), has opened exciting possibilities for constructing computational simulations designed to replicate human behavior accurately. Current research suggests that LLM-based agents become increasingly…

计算与语言 · 计算机科学 2024-12-18 Amir Taubenfeld , Yaniv Dover , Roi Reichart , Ariel Goldstein

Today's leading AI models engage in sophisticated behaviour when placed in strategic competition. They spontaneously attempt deception, signaling intentions they do not intend to follow; they demonstrate rich theory of mind, reasoning about…

人工智能 · 计算机科学 2026-02-17 Kenneth Payne

Large Language Models (LLMs) like GPT-4 have revolutionized natural language processing, showing remarkable linguistic proficiency and reasoning capabilities. However, their application in strategic multi-agent decision-making environments…

计算与语言 · 计算机科学 2024-05-29 Chuanhao Li , Runhan Yang , Tiankai Li , Milad Bafarassat , Kourosh Sharifi , Dirk Bergemann , Zhuoran Yang

As LLMs increasingly act as autonomous agents in interactive and multi-agent settings, understanding their strategic behavior is critical for safety, coordination, and AI-driven social and economic systems. We investigate how payoff…

The overwhelming success of GPT-4 in early 2023 highlighted the transformative potential of large language models (LLMs) across various sectors, including national security. This article explores the implications of LLM integration within…

密码学与安全 · 计算机科学 2024-07-08 William N. Caballero , Phillip R. Jenkins

Which factors determine AI's propensity to support military intervention? While the use of AI in high-stakes decision-making is growing exponentially, we still lack systematic analysis of the key drivers embedded in these models. This paper…

计算机与社会 · 计算机科学 2025-12-10 Maxim Chupilkin

There is general agreement that fostering trust and cooperation within the AI development ecosystem is essential to promote the adoption of trustworthy AI systems. By embedding Large Language Model (LLM) agents within an evolutionary…

Diplomacy is one of the most sophisticated activities in human society, involving complex interactions among multiple parties that require skills in social reasoning, negotiation, and long-term strategic planning. Previous AI agents have…

人工智能 · 计算机科学 2025-12-22 Zhenyu Guan , Xiangyu Kong , Fangwei Zhong , Yizhou Wang

Effective automation hinges on deciding when to act and when to escalate. We model this as a decision under uncertainty: an LLM forms a prediction, estimates its probability of being correct, and compares the expected costs of acting and…

机器学习 · 计算机科学 2026-04-13 Matthew DosSantos DiSorbo , Harang Ju

Large language models (LLMs) are increasingly being deployed as autonomous agents on behalf of institutions and individuals in economic, political, and social settings that involve negotiation. Yet this trend carries significant risks if…

计算机科学与博弈论 · 计算机科学 2025-12-19 Manuel S. Ríos , Ruben F. Manrique , Nicanor Quijano , Luis F. Giraldo

As Large Language Models (LLMs) become increasingly integrated into real-world decision-making systems, understanding their behavioural vulnerabilities remains a critical challenge for AI safety and alignment. While existing evaluation…

人工智能 · 计算机科学 2025-05-20 Lili Zhang , Haomiaomiao Wang , Long Cheng , Libao Deng , Tomas Ward

Can we avoid wars at the crossroads of history? This question has been pursued by individuals, scholars, policymakers, and organizations throughout human history. In this research, we attempt to answer the question based on the recent…

人工智能 · 计算机科学 2024-01-31 Wenyue Hua , Lizhou Fan , Lingyao Li , Kai Mei , Jianchao Ji , Yingqiang Ge , Libby Hemphill , Yongfeng Zhang

Recent advances in large language models (LLMs) have catalyzed the rise of autonomous AI agents capable of perceiving, reasoning, and acting in dynamic, open-ended environments. These large-model agents mark a paradigm shift from static…

人工智能 · 计算机科学 2025-07-01 Hang Su , Jun Luo , Chang Liu , Xiao Yang , Yichi Zhang , Yinpeng Dong , Jun Zhu

Large Language Models (LLMs) have increasingly been utilized in social simulations, where they are often guided by carefully crafted instructions to stably exhibit human-like behaviors during simulations. Nevertheless, we doubt the…

人工智能 · 计算机科学 2024-10-29 Zengqing Wu , Run Peng , Shuyuan Zheng , Qianying Liu , Xu Han , Brian Inhyuk Kwon , Makoto Onizuka , Shaojie Tang , Chuan Xiao
‹ 上一页 1 2 3 10 下一页 ›