22 citations · 25 across the 10 of their papers we have counts for
10 papers
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…
The gold-rush effect: how innovation speeds up
Alessandro Bellina, Gabriele Di Bona, Giordano De Marzo +1
Innovation records often exhibit "hockey-stick" patterns of abrupt, near-singular growth at the collective level. However, this macroscopic explosiveness stands in stark contrast t…
Conformity and Social Impact on AI Agents
Alessandro Bellina, Giordano De Marzo, David Garcia
As AI agents increasingly operate in multi-agent environments, understanding their collective behavior becomes critical for predicting the dynamics of artificial societies. This st…
Cost Functions in Economic Complexity
Alessandro Bellina, Paolo Buttà, Vito D. P. Servedio
Economic complexity algorithms aim to uncover the hidden capabilities that drive economic systems. Here, we present a fundamental reinterpretation of two of these algorithms, the E…
Cognitive Limits Shape Language Statistics
Alessandro Bellina, Vito D. P. Servedio
Statistical regularities in human language have fascinated researchers for decades, suggesting deep underlying principles governing its evolution and information structuring for ef…
Modelling Singularities in Macroevolution
Alessandro Bellina, Giordano De Marzo, Vittorio Loreto
Macroevolutionary dynamics often display sudden, explosive surges, where systems remain relatively stable for extended periods before experiencing dramatic acceleration that freque…
Economic Complexity in Mono-Partite Networks
Vito D. P. Servedio, Alessandro Bellina, Emanuele Calò +1
Initially designed to predict and explain the economic trajectories of countries, cities, and regions, economic complexity has been found applicable in diverse contexts such as eco…
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…
The dynamics of higher-order novelties
Gabriele Di Bona, Alessandro Bellina, Giordano De Marzo +3
Studying how we explore the world in search of novelties is key to understand the mechanisms that can lead to new discoveries. Previous studies analyzed novelties in various explor…
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…