Semantic Fusion: Verifiable Alignment in Decentralized Multi-Agent Systems

TL;DR

Semantic Fusion introduces a formal framework for decentralized semantic coordination in multi-agent systems, enabling local verification and global coherence without centralized control, demonstrated through theoretical guarantees and large-scale simulation.

Contribution

It provides a novel formal framework with bisimulation guarantees for decentralized semantic alignment, supporting probabilistic updates and resilience in multi-agent systems.

Findings

Proves behavioral equivalence of local and global semantics.

Demonstrates convergence and robustness in large-scale simulation.

Validates semantic alignment under asynchronous communication.

Abstract

We present Semantic Fusion (SF), a formal framework for decentralized semantic coordination in multi-agent systems. SF allows agents to operate over scoped views of shared memory, propose structured updates, and maintain global coherence through local ontology-based validation and refresh without centralized control or explicit message passing. The central theoretical result is a bisimulation theorem showing that each agent's local execution is behaviorally equivalent to its projection of the global semantics, in both deterministic and probabilistic settings. This enables safety, liveness, and temporal properties to be verified locally and soundly lifted to the full system. SF supports agents whose update proposals vary across invocations, including those generated by learned or heuristic components, provided updates pass semantic validation before integration. We establish deterministic and probabilistic guarantees ensuring semantic alignment under asynchronous or degraded communication. To validate the model operationally, we implement a lightweight reference architecture that instantiates its core mechanisms. A 250-agent simulation evaluates these properties across over 11,000 validated updates, demonstrating convergence under probabilistic refresh, bounded communication, and resilience to agent failure. Together, these results show that Semantic Fusion can provide a formal and scalable basis for verifiable autonomy in decentralized systems.