Tag: AI Multi-Agent Systems
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EvoMAS: Adaptive Workflows for Multi-Agent Systems
Discover EvoMAS, a novel framework that enables real-time adaptive workflows to optimize multi-agent systems in dynamic environments.
AgentPSO: Enhancing AI Reasoning with Multi-Agent PSO
Discover how AgentPSO evolves AI agent reasoning skills using multi-agent particle swarm optimization for improved problem-solving and adaptability.
Iterative Critique-and-Routing for Multi-Agent LLM Systems
Discover the iterative critique-and-routing controller that boosts multi-agent systems with heterogeneous LLMs for refined, high-quality AI outputs.
MIND-Skill: Automated Quality Skill Generation for AI Agents
Discover MIND-Skill, a multi-agent framework that guarantees high-quality, reusable skill generation for AI agents in complex problem-solving tasks.
Emergent Communication Bounds for Agentic AI Networking
Explore generalization bounds and novel frameworks enhancing emergent communication in agentic AI networking for 6G and beyond.