Markets, Not Planners: Decentralized Orchestration of LLM Agents with Private Information

arXiv:2608.23867 · cs.MA, cs.CL · Submitted 2026-08-24 · Read on arXiv

cs.MA, cs.CL

Submitted: 2026-08-24

Updated: 2026-08-24

Terminology

• Allocator — 30× in this paper · explained in 1 episode
• alpha — 15× in this paper · explained in 1 episode
• Benchmark — 10× in this paper · explained in 2 episodes
• Calibration — 6× in this paper · explained in 7 episodes
• Abstention — 5× in this paper · explained in 1 episode
• Adaptation — 5× in this paper · explained in 1 episode
• Accuracy — 4× in this paper · explained in 1 episode
• Multi-Agent System — 4× in this paper · explained in 5 episodes
• Ablation — 3× in this paper · explained in 1 episode
• AI Agents — 2× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Provenance — 2× in this paper · explained in 3 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Task Decomposition — 2× in this paper · explained in 2 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Agentic Coding — 1× in this paper · explained in 1 episode
• Agentic Problem — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Agentic Task — 1× in this paper · explained in 1 episode
• Agentic Tasks — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Credit assignment — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• LLM Orchestrator — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes

Sources

• How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks
• Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
• MarketBench: Evaluating AI Agents as Market Participants
• MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
• Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
• CARROT: A Cost Aware Rate Optimal Router

Related papers

• Highway Congestion Reduction through Reinforcement Learning Based Eulerian Headway Control
• You Only Align Once: Propagating Cooperative Behaviors in Multi-Agent Systems through Seed Agents
• Deny Without Disabling: Authorization-Paired Evaluation and Control for Multi-Agent Systems
• MA-SAPO: Multi-Agent Reasoning for Score-Aware Prompt Optimization
• PeroMAS: A Multi-agent System of Perovskite Material Discovery
• StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning