6 papers
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…
An Allele-Centric Pan-Graph-Matrix Representation for Scalable Pangenome Analysis
Roberto Garrone
Population-scale pangenome analysis increasingly requires representations that unify single-nucleotide and structural variation while remaining scalable across large cohorts. Exist…
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…
Proportionate Cybersecurity for Micro-SMEs: A Governance Design Model under NIS2
Roberto Garrone
Micro and small enterprises (SMEs) remain structurally vulnerable to cyber threats while facing capacity constraints that make formal compliance burdensome. This article develops a…