4 papers · 1 filter
Transfer Learning Across Policy Regimes in Adaptive Multi-Agent Systems
Roberto Garrone
Policy models often assume that the relationship between a policy instrument and its outcome remains stable across institutional conditions. In adaptive socio-technical systems thi…
Characterizing Agent-Based Model Dynamics via -Machines and Kolmogorov-Style Complexity
Roberto Garrone
We propose a two-level information-theoretic framework for characterizing the informational organization of Agent-Based Model (ABM) dynamics within the broader paradigm of Complex…
Complementary Characterization of Agent-Based Models via Computational Mechanics and Diffusion Models
Roberto Garrone
This article extends the preprint "Characterizing Agent-Based Model Dynamics via -Machines and Kolmogorov-Style Complexity" by introducing diffusion models as orthogonal and co…
An Adaptive, Data-Integrated Agent-Based Modeling Framework for Explainable and Contestable Policy Design
Roberto Garrone
Multi-agent systems often operate under feedback, adaptation, and non-stationarity, yet many simulation studies retain static decision rules and fixed control parameters. This pape…