Surveying Multi-Agent Communication Paradigms
β‘ 30-Second TL;DR
What Changed
Frames multi-agent communication using Five Ws framework
Why It Matters
Researchers developers and practitioners in multi-agent AI benefit from distilled design patterns and challenges for hybrid systems. It matters by clarifying paradigm evolution and trade-offs aiding informed design choices. Potential effects include accelerated progress toward scalable interpretable multi-agent applications.
What To Do Next
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Key Points
- β’Frames multi-agent communication using Five Ws framework
- β’Traces evolution from MARL hand-designed protocols to emergent language and LLM systems
- β’Highlights trade-offs in interpretability scalability and generalization across paradigms
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Original source: ArXiv AI β
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