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Agent-based Modeling

7 articles · Page 1 of 1
HyperAI Super Neural
HyperAI Super Neural
Jun 18, 2026 · Artificial Intelligence

When AI Takes Over Research, What Role Remains for Human Scientists? Inside AgentSociety²

AgentSociety² is an integrated, human‑in‑the‑loop research environment that lets AI Social Scientists handle repetitive tasks such as literature mining, hypothesis generation, experiment configuration, simulation execution and report drafting, while human researchers retain control over problem definition, hypothesis revision, constraint setting, mechanism interpretation, and the judgment of social significance.

AIAgent-based ModelingExecutable Social Science
0 likes · 17 min read
When AI Takes Over Research, What Role Remains for Human Scientists? Inside AgentSociety²
Bighead's Algorithm Notes
Bighead's Algorithm Notes
Mar 24, 2026 · Artificial Intelligence

How an Interactive Imitation‑Learning Agent Framework Trains Robust Trading Strategies

The article analyzes the simulation‑reality gap in algorithmic trading and proposes an interactive market simulator that combines a pool of imitation‑learning agents, an action‑synthesis network, and a DDPG‑based reinforcement‑learning trader, showing superior robustness and downside protection on QQQ data.

Agent-based ModelingDDPGfinancial AI
0 likes · 16 min read
How an Interactive Imitation‑Learning Agent Framework Trains Robust Trading Strategies
Fighter's World
Fighter's World
Sep 27, 2025 · Artificial Intelligence

Building Agent‑Driven Hybrid Organizations: How Humans and AI Co‑Create Value

The article analyzes why professional‑service firms struggle with AI adoption—citing the productivity paradox, expert‑knowledge dilemma, and socio‑technical gap—and proposes a low‑risk, agent‑based digital‑twin sandbox that redesigns roles from positions to tasks, measures "silicon‑employee" share, and shifts from AI‑serving‑human to human‑serving‑AI to unlock strategic value.

AIAgent-based ModelingBusiness Process Reengineering
0 likes · 29 min read
Building Agent‑Driven Hybrid Organizations: How Humans and AI Co‑Create Value
DataFunSummit
DataFunSummit
Nov 29, 2023 · Artificial Intelligence

AIGC and Causal Inference: Mutual Empowerment and Applications with YLearn

This article explores how generative AI (AIGC) can be used to synthesize structured data, how synthetic data supports causal inference, and how agent‑based modeling and the YLearn framework together enable advanced causal discovery, effect estimation, and scenario simulation for enterprise AI applications.

AIGCAgent-based ModelingArtificial Intelligence
0 likes · 16 min read
AIGC and Causal Inference: Mutual Empowerment and Applications with YLearn
DataFunSummit
DataFunSummit
Sep 4, 2023 · Artificial Intelligence

AIGC and Causal Inference: Mutual Empowerment and Applications with YLearn

This article explores how generative AI (AIGC) can be used to synthesize structured data, how synthetic data and agent‑based modeling support causal inference, and introduces the YLearn framework for end‑to‑end causal learning, highlighting practical use cases and research directions.

AIGCAgent-based ModelingYLearn
0 likes · 15 min read
AIGC and Causal Inference: Mutual Empowerment and Applications with YLearn
DataFunTalk
DataFunTalk
Aug 27, 2023 · Artificial Intelligence

AIGC and Causal Inference: Mutual Empowerment and Practical Applications

This article explores how generative AI (AIGC) can be used to synthesize structured data, how such synthetic data enhances causal inference tasks, and how agent‑based modeling and the YLearn framework together enable a two‑way synergy between AIGC and causal learning for enterprise AI solutions.

AIGCAgent-based ModelingArtificial Intelligence
0 likes · 15 min read
AIGC and Causal Inference: Mutual Empowerment and Practical Applications