Eco3S: Complex Socio-Economic System Simulation via Agent-Based Models
The rapid development of large language models (LLMs) has renewed interest in agent-based modeling (ABM). However, current LLM-based ABM research faces several key challenges: modeling evolving agent-environment interactions, enabling flexible counterfactual reasoning, and automating simulation workflows for scientific research. In this paper, we propose Eco3S, a socio-economic system simulation framework for economic research and policy analysis that addresses these challenges through three key
Record details
Published: 29 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy · Environment
Retrieved: 30 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Harness-G: A Graph-Structured Harness for Search Agents
HuggingFace Daily Papers · 29 July 2026
From Scoring to Acting: Outcome-Verified Comparative Self-Distillation for LLM Agents
arXiv · 30 July 2026
Constitutional governance for societies of AI agents in the built environment: a research agenda
arXiv cs.CY · 28 July 2026
On-Policy and Off-Policy Learning for Large Action Spaces
arXiv cs.AI · 30 July 2026
The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation
arXiv cs.AI · 27 July 2026
MAGA: Multi-Platform Self-Fusion of GUI Agents via Structured Action Distillation
arXiv cs.AI · 31 July 2026
How to cite this record
ethics.ai (29 July 2026), “Eco3S: Complex Socio-Economic System Simulation via Agent-Based Models,” evidence record 14586, https://ethics.ai/record/14586 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.