Tag: LLM multi-agent systems
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Emergent Coordination in Multi-Agent Language Models
Explore how multi-agent language models achieve emergent coordination and collective intelligence through advanced prompt design and synergy.
OxyGent: Modular & Observable Multi-Agent Systems Framework
Discover OxyGent, the open-source framework enhancing multi-agent systems with modularity, observability, and real-time evolution for industrial AI.
Causal Abstraction Networks: A Sheaf-Theoretic AI Framework
Explore the sheaf-theoretic framework for causal abstraction networks, enhancing AI's ability to integrate diverse causal perspectives in complex systems.
TDD Governance for Reliable Multi-Agent Code Generation
Discover how integrating TDD principles with LLMs enhances stability, reproducibility, and efficiency in multi-agent code generation workflows.
Preserving Disagreement in Multi-Agent Policy Simulations
Explore how architectural heterogeneity and coherence validation reduce artificial consensus in multi-agent policy simulations using AI Council.