#Game Theory
Latest news articles tagged with "Game Theory". Follow the timeline of events, related topics, and entities.
Articles (8)
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🇺🇸 Maximin Share Guarantees via Limited Cost-Sensitive Sharing
[USA]
arXiv:2602.20541v1 Announce Type: cross Abstract: We study the problem of fairly allocating indivisible goods when limited sharing is allowed, that is, each good may be allocated to up to $k$ agents,...
Related: #Fair Division, #Resource Allocation, #Multi-agent Systems -
🇺🇸 A Survey on Hypergame Theory: Modeling Misaligned Perceptions and Nested Beliefs for Multi-agent Systems
[USA]
arXiv:2507.19593v2 Announce Type: replace Abstract: Classical game-theoretic models typically assume rational agents, complete information, and common knowledge of payoffs - assumptions that are ofte...
Related: #Multi-agent Systems, #Strategic Modeling -
🇺🇸 GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
[USA]
arXiv:2602.12316v1 Announce Type: new Abstract: Frontier AI systems are increasingly capable and deployed in high-stakes multi-agent environments. However, existing AI safety benchmarks largely evalu...
Related: #AI Safety, #Multi-agent Systems -
🇺🇸 Incentive-Aware AI Safety via Strategic Resource Allocation: A Stackelberg Security Games Perspective
[USA]
arXiv:2602.07259v1 Announce Type: new Abstract: As AI systems grow more capable and autonomous, ensuring their safety and reliability requires not only model-level alignment but also strategic oversi...
Related: #Artificial Intelligence, #Cybersecurity -
🇺🇸 Sample-Efficient Policy Space Response Oracles with Joint Experience Best Response
[USA]
arXiv:2602.06599v1 Announce Type: cross Abstract: Multi-agent reinforcement learning (MARL) offers a scalable alternative to exact game-theoretic analysis but suffers from non-stationarity and the ne...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 Communication Enhances LLMs' Stability in Strategic Thinking
[USA]
arXiv:2602.06081v1 Announce Type: cross Abstract: Large Language Models (LLMs) often exhibit pronounced context-dependent variability that undermines predictable multi-agent behavior in tasks requiri...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 LLM Active Alignment: A Nash Equilibrium Perspective
[USA]
arXiv:2602.06836v1 Announce Type: new Abstract: We develop a game-theoretic framework for predicting and steering the behavior of populations of large language models (LLMs) through Nash equilibrium ...
Related: #Artificial Intelligence, #AI Safety -
🇺🇸 Deceive, Detect, and Disclose: Large Language Models Play Mini-Mafia
[USA]
arXiv:2509.23023v2 Announce Type: replace Abstract: Mafia is a social deduction game where informed mafia compete against uninformed townsfolk. Its asymmetry of information and reliance on theory-of-...
Related: #Artificial Intelligence, #Social Intelligence