Verified65% confidenceFactExact time
Communication patterns between agents in multi-agent systems are typically divided into three categories: point-to-point direct messaging, indirect collaboration based on a shared blackboard, and a hierarchical structure with unified scheduling by an orchestrator.
3
Sources
65%
Confidence
Long-term
Relevance
7/9/2026
First Seen
Sources
Microsoft Open-Sources Flint: A Deep Dive into the AI Agent Behavior Visualization Language
hackernewshackernews7/8/2026
Related Claims
UnverifiedThe communication and coordination modes of multi-agent systems are mainly of two types: centralized orchestration (the Orchestrator pattern) and decentralized peer-to-peer collaboration (the Peer-to-Peer pattern).79% similarUnverifiedMulti-agent systems exhibit an 'echo chamber effect,' where agents based on the same underlying model reinforce each other's views rather than generating genuine disagreement when communicating75% similarUnverifiedEmergent communication is a research branch in multi-agent reinforcement learning, referring to agents spontaneously evolving an internally consistent symbol system when the communication channel is limited.71% similarUnverifiedMultimodal interaction means a device simultaneously supports multiple input and output modes such as voice, touch and vision, and can fuse these signals to understand user intent.68% similarUnverifiedCommunication patterns include: Direct, Broadcast, Shared state, and Message queue.66% similar
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