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Exploring Causal Mechanisms with Generative Agent-Based Models

US & West · yesterday

arXiv:2609.35819v1 Announce Type: new Abstract: In this paper, we explore using generative agent-based models for a classical ABM application: testing how individual-level behavioral rules produce collective phenomena.

Original headline: Exploring Causal Mechanisms with Generative Agent-Based Models

Read the original: arXiv — Multiagent Systems (cs.MA)

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Exploring Causal Mechanisms with Generative Agent-Based Models

Related

Towards Input-Convex Neural Network Modeling for Battery Optimization in Power Systems

Enhanced Sampled-Data Model Predictive Control via Nonlinear Lifting

Beyond Ellipsoids: Semi-Algebraic Tightening for Chance Constraints Under Actuator Saturation