Towards Multi-Agent Autonomous Reasoning in Hydrodynamics
Single-agent systems (SAS) have become the default pattern for LLM-driven scientific workflows, but routing planning, tool use, and synthesis through a single context window comes with a well-known cost: as tool specifications and observational traces accumulate, the effective context available for each decision shrinks, and end-to-end reliability suffers. We present a multi-agent system (MAS) prototype for hydrodynamics in which specialized agents are coordinated through a Layer Execution Graph (LEG). A planner agent constructs query-specific execution topologies from natural-language routing heuristics that capture domain knowledge without hard-coding it as rigid control logic; speciali...
| Authors | Jinpai Zhao, Albert Cerrone, Joannes Westerink et al. |
|---|---|
| Primary category | cs.AI |
| Published | 1 May 2026 |
| Last updated at source | 1 May 2026 |
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