22 citations · 55 across the 14 of their papers we have counts for
14 papers
Copying explains the collective behavior of AI agents in the wild
Giordano De Marzo, Nicola Alboré, David Garcia
In June 2026, thousands of AI agents found that a small public wiki would accept edits from inside their sandboxes, and started using it to help one another pass a timed test. Each…
Network Information Enhances Unreliable News Domain Detection
Raphaela Keßler, Roman David Ventzke, Viola Priesemann +1
Content-based detection of unreliable news is increasingly difficult, as low-reliability sources mimic credible journalism and generative AI makes fabricated content harder to flag…
Conformity Generates Collective Misalignment in AI Agents Societies
Giordano De Marzo, Alessandro Bellina, Claudio Castellano +2
Artificial intelligence safety research focuses on aligning individual language models with human values, yet deployed AI systems increasingly operate as interacting populations wh…
Anticipating Innovation Using Large Language Models
Enrico Maria Fenoaltea, Filippo Santoro, Giordano De Marzo +2
Forecasting innovation, intended as the emergence of new technological combinations, is a fundamental challenge for science and policy. We show that forthcoming combinations leave…
AI agents can coordinate beyond human scale
Giordano De Marzo, Claudio Castellano, David Garcia
Large language models (LLMs) are increasingly deployed in collaborative tasks involving multiple agents, forming an "AI agent society: where agents interact and influence one anoth…
Time-Dependent Urn Models reproduce the full spectrum of novelties discovery
Alessandro Bellina, Giordano De Marzo, Vittorio Loreto
Systems driven by innovation, a pivotal force in human society, present various intriguing statistical regularities, from the Heaps' law to logarithmic scaling or somewhat differen…
Recommender systems may enhance the discovery of novelties
Giordano De Marzo, Pietro Gravino, Vittorio Loreto
Recommender systems are vital for shaping user online experiences. While some believe they may limit new content exploration and promote opinion polarization, a systematic analysis…
Emergence of Scale-Free Networks in Social Interactions among Large Language Models
Giordano De Marzo, Luciano Pietronero, David Garcia
Scale-free networks are one of the most famous examples of emergent behavior and are ubiquitous in social systems, especially online social media in which users can follow each oth…
The Tully-Fisher relation and the Bosma effect
Francesco Sylos Labini, Giordano De Marzo, Matteo Straccamore +1
We show that the rotation curves of 16 nearby disc galaxies in the THINGS sample and the Milky Way can be described by the NFW halo model and by the Bosma effect at approximately t…
Mapping non-axisymmetric velocity fields of external galaxies
Francesco Sylos Labini, Matteo Straccamore, Giordano De Marzo +1
Disk galaxies are typically in a stable configuration where matter moves in almost closed circular orbits. However, non-circular motions caused by distortions, warps, lopsidedness,…
The effect of Collaborative-Filtering based Recommendation Algorithms on Opinion Polarization
Alessandro Bellina, Claudio Castellano, Paul Pineau +2
A central role in shaping the experience of users online is played by recommendation algorithms. On the one hand they help retrieving content that best suits users taste, but on th…
Quantifying the complexity and similarity of chess openings using online chess community data
Giordano De Marzo, Vito DP Servedio
Hundreds of years after its creation, the game of chess is still widely played worldwide. Opening Theory is one of the pillars of chess and requires years of study to be mastered.…
Effect of spatial correlations on Hopfield Neural Network and Dense Associative Memories
Giordano De Marzo, Giulio Iannelli
Hopfield model is one of the few neural networks for which analytical results can be obtained. However, most of them are derived under the assumption of random uncorrelated pattern…
Quantifying the Unexpected: a scientific approach to Black Swans
Giordano De Marzo, Andrea Gabrielli, Andrea Zaccaria +1
Many natural and socio-economic systems are characterized by power-law distributions that make the occurrence of extreme events not negligible. Such events are sometimes referred t…