Strategic Learning Under Linguistic and Contextual Constraints: A Theoretical Framework for LLM-Based Multi-Agent Coordination

This study introduces mathematical frameworks for analyzing strategic coordination in large-language-model-based multi-agent systems operating under context-window limitations and semantic uncertainty. The proposed Context-Constrained Nash Equilibrium (CCNE) and Linguistic Uncertainty Game (LUG) fra...

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Detalhes bibliográficos

Autor principal:	Sungwook Yoon
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
Colecção:	IEEE Access
Assuntos:	Context-constrained games game theory large language models linguistic uncertainty multi-agent coordination Nash equilibrium
Acesso em linha:	https://ieeexplore.ieee.org/document/11224868/
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