Independent Researcher · Systems Architect
Haelio Tang
I study how coordination arises in distributed systems through the lens of inference, information theory, and non-equilibrium thermodynamics.
Research Interests
Distributed Coordination
Coordination as inference under partial observability in multi-agent systems
Active Inference
Free energy minimization and belief-driven behavior in distributed settings
Thermodynamic Computing
Physical bounds on information processing, Landauer limits, and dissipation
Systems Architecture
Scalable infrastructure for real-time multi-agent coordination
Distributed coordination can be understood as a process of local inference, in which nodes act to reduce uncertainty over a shared state. — from "Coordination as Inference" (2026)
Publications
2026 · Preprint
Coordination as Inference: A Minimal Model for Distributed Coordination
under Partial Observability via Evidence Accumulation
arXiv preprint, cs.DC
We propose that distributed coordination can be understood as a process of
local inference, in which nodes act to reduce uncertainty over a shared state.
We introduce evidence accumulation as a coordination mechanism and derive a
thermodynamic lower bound relating energy, communication, and fault tolerance.
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