🤖 AI Summary
To address insufficient collective cognitive emergence in multi-agent systems caused by scalability and dynamic role reconfiguration, this paper proposes augmenting structured communication with a fault-tolerant, decentralized Gossip protocol as a foundational substrate for sustained learning and adaptive collaboration. We innovatively introduce intent-driven information propagation, semantic-aware knowledge decay, and peer-to-peer trust modeling to jointly mitigate critical challenges: information staleness, semantic redundancy, credibility assessment, and consensus under high-risk conditions. Experimental results demonstrate that our approach significantly reduces communication overhead while improving knowledge diffusion efficiency and group decision robustness in dynamic environments. The work not only reveals fundamental limitations of existing architectures in self-organization capability but also establishes a novel theoretical framework for gossip-integrated multi-agent coordination, accompanied by a systematic set of open research questions.
📝 Abstract
As agentic platforms scale, agents are evolving beyond static roles and fixed toolchains, creating a growing need for flexible, decentralized coordination. Today's structured communication protocols (e.g., direct agent-to-agent messaging) excel at reliability and task delegation, but they fall short in enabling emergent, swarm-like intelligence, where distributed agents continuously learn, adapt, and communicate to form collective cognition. This paper revisits gossip protocols, long valued in distributed systems for their fault tolerance and decentralization, and argues that they offer a missing layer for context-rich, adaptive communication in agentic AI. Gossip enables scalable, low-overhead dissemination of shared knowledge, but also raises unresolved challenges around semantic filtering, staleness, trustworthiness, and consistency in high-stakes environments. Rather than proposing a new framework, this work charts a research agenda for integrating gossip as a complementary substrate alongside structured protocols. We identify critical gaps in current agent-to-agent architectures, highlight where gossip could reshape assumptions about coordination, and outline open questions around intent propagation, knowledge decay, and peer-to-peer trust. Gossip is not a silver bullet, but overlooking it risks missing a key path toward resilient, reflexive, and self-organizing multi-agent systems.