The Yerkes-Dodson Curve for AI Agents: Emergent Cooperation Under Environmental Pressure in Multi-Agent LLM Simulations
Fuente:
arXiv
Saved in:
| Main Author: | Pasichnyk, Ivan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beta-Scheduling: Momentum from Critical Damping as a Diagnostic and Correction Tool for Neural Network Training
by: Pasichnyk, Ivan
Published: (2026)
by: Pasichnyk, Ivan
Published: (2026)
Emergent Convergence in Multi-Agent LLM Annotation
by: Parfenova, Angelina, et al.
Published: (2025)
by: Parfenova, Angelina, et al.
Published: (2025)
Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents
by: Hua, Yun, et al.
Published: (2025)
by: Hua, Yun, et al.
Published: (2025)
CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation
by: Sinha, Aarush, et al.
Published: (2026)
by: Sinha, Aarush, et al.
Published: (2026)
Graph of Agents: Principled Long Context Modeling by Emergent Multi-Agent Collaboration
by: Joo, Taejong, et al.
Published: (2025)
by: Joo, Taejong, et al.
Published: (2025)
Cooperation Breakdown in LLM Agents Under Communication Delays
by: Nishimoto, Keita, et al.
Published: (2026)
by: Nishimoto, Keita, et al.
Published: (2026)
AgentSchool: An LLM-Powered Multi-Agent Simulation for Education
by: Ye, Yulei, et al.
Published: (2026)
by: Ye, Yulei, et al.
Published: (2026)
Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication
by: Kölle, Michael, et al.
Published: (2026)
by: Kölle, Michael, et al.
Published: (2026)
Emergent Ecological Intelligence: Cross-System Knowledge Discovery from a Network of Environmental AI Agents
by: Eismann, Amir
Published: (2026)
by: Eismann, Amir
Published: (2026)
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
by: Rudd-Jones, James, et al.
Published: (2025)
by: Rudd-Jones, James, et al.
Published: (2025)
AgentMesh: A Cooperative Multi-Agent Generative AI Framework for Software Development Automation
by: Khanzadeh, Sourena
Published: (2025)
by: Khanzadeh, Sourena
Published: (2025)
LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation
by: Zhu, Guobin, et al.
Published: (2025)
by: Zhu, Guobin, et al.
Published: (2025)
Beyond Cooperative Simulators: Generating Realistic User Personas for Robust Evaluation of LLM Agents
by: Chopra, Harshita, et al.
Published: (2026)
by: Chopra, Harshita, et al.
Published: (2026)
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
by: Bae, Sangjun, et al.
Published: (2026)
by: Bae, Sangjun, et al.
Published: (2026)
CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents
by: Zeng, Qingbin, et al.
Published: (2025)
by: Zeng, Qingbin, et al.
Published: (2025)
Cultural Evolution of Cooperation among LLM Agents
by: Vallinder, Aron, et al.
Published: (2024)
by: Vallinder, Aron, et al.
Published: (2024)
AgentComm-Bench: Stress-Testing Cooperative Embodied AI Under Latency, Packet Loss, and Bandwidth Collapse
by: Bansal, Aayam, et al.
Published: (2026)
by: Bansal, Aayam, et al.
Published: (2026)
Reproducibility Study of "Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents"
by: Curvo, Pedro M. P., et al.
Published: (2025)
by: Curvo, Pedro M. P., et al.
Published: (2025)
COOP$^2$: Defining, Observing, and Repairing Cooperation in LLM Multi-Agent Systems
by: Yang, Hanqing, et al.
Published: (2026)
by: Yang, Hanqing, et al.
Published: (2026)
Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification
by: Luo, Yaoyang, et al.
Published: (2026)
by: Luo, Yaoyang, et al.
Published: (2026)
Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
by: Shao, Shuai, et al.
Published: (2025)
by: Shao, Shuai, et al.
Published: (2025)
Readable Minds: Emergent Theory-of-Mind-Like Behavior in LLM Poker Agents
by: Lin, Hsieh-Ting, et al.
Published: (2026)
by: Lin, Hsieh-Ting, et al.
Published: (2026)
An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents
by: Qi, Junjie, et al.
Published: (2025)
by: Qi, Junjie, et al.
Published: (2025)
Cooperative Reward Shaping for Multi-Agent Pathfinding
by: Song, Zhenyu, et al.
Published: (2024)
by: Song, Zhenyu, et al.
Published: (2024)
Interpreting Emergent Extreme Events in Multi-Agent Systems
by: Tang, Ling, et al.
Published: (2026)
by: Tang, Ling, et al.
Published: (2026)
Emergent Bias and Fairness in Multi-Agent Decision Systems
by: Madigan, Maeve, et al.
Published: (2025)
by: Madigan, Maeve, et al.
Published: (2025)
An Efficient Approach for Cooperative Multi-Agent Learning Problems
by: Aso-Mollar, Ángel, et al.
Published: (2025)
by: Aso-Mollar, Ángel, et al.
Published: (2025)
Concept Learning for Cooperative Multi-Agent Reinforcement Learning
by: Ge, Zhonghan, et al.
Published: (2025)
by: Ge, Zhonghan, et al.
Published: (2025)
EU-Agent-Bench: Measuring Illegal Behavior of LLM Agents Under EU Law
by: Lichkovski, Ilija, et al.
Published: (2025)
by: Lichkovski, Ilija, et al.
Published: (2025)
Why Agents Compromise Safety Under Pressure
by: Jiang, Hengle, et al.
Published: (2026)
by: Jiang, Hengle, et al.
Published: (2026)
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
by: Lou, Xingzhou, et al.
Published: (2023)
by: Lou, Xingzhou, et al.
Published: (2023)
Exact Is Easier: Credit Assignment for Cooperative LLM Agents
by: Chen, Yanjun, et al.
Published: (2026)
by: Chen, Yanjun, et al.
Published: (2026)
12 Angry AI Agents: Evaluating Multi-Agent LLM Decision-Making Through Cinematic Jury Deliberation
by: Ersoz, Ahmet Bahaddin
Published: (2026)
by: Ersoz, Ahmet Bahaddin
Published: (2026)
On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents
by: Huang, Jen-tse, et al.
Published: (2024)
by: Huang, Jen-tse, et al.
Published: (2024)
Kaleidoscopic Teaming in Multi Agent Simulations
by: Mehrabi, Ninareh, et al.
Published: (2025)
by: Mehrabi, Ninareh, et al.
Published: (2025)
AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy Condition
by: Wang, Ruipeng, et al.
Published: (2026)
by: Wang, Ruipeng, et al.
Published: (2026)
MDGYM: Benchmarking AI Agents on Molecular Simulations
by: Kumar, Vinay, et al.
Published: (2026)
by: Kumar, Vinay, et al.
Published: (2026)
GTM: Simulating the World of Tools for AI Agents
by: Ren, Zhenzhen, et al.
Published: (2025)
by: Ren, Zhenzhen, et al.
Published: (2025)
Agents of Change: Self-Evolving LLM Agents for Strategic Planning
by: Belle, Nikolas, et al.
Published: (2025)
by: Belle, Nikolas, et al.
Published: (2025)
LLM Agent for Fire Dynamics Simulations
by: Xu, Leidong, et al.
Published: (2024)
by: Xu, Leidong, et al.
Published: (2024)
Similar Items
-
Beta-Scheduling: Momentum from Critical Damping as a Diagnostic and Correction Tool for Neural Network Training
by: Pasichnyk, Ivan
Published: (2026) -
Emergent Convergence in Multi-Agent LLM Annotation
by: Parfenova, Angelina, et al.
Published: (2025) -
Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents
by: Hua, Yun, et al.
Published: (2025) -
CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation
by: Sinha, Aarush, et al.
Published: (2026) -
Graph of Agents: Principled Long Context Modeling by Emergent Multi-Agent Collaboration
by: Joo, Taejong, et al.
Published: (2025)