3 citations · 4 across the 5 of their papers we have counts for
6 papers
Who Else Is In? Multi-Agent Collusion Initation Via Strategic Vagueness
Pramod Kaushik, Sarath Sivaprasad, Laura Ferrarotti +4
Multi agent LLM systems raise the risk of collusion among agents pursuing objectives hidden from their overseers. When potential partners identities are unknown, collusion first re…
Ant swarm functional control via stigmergic Reinforcement Learning agents
Alessio Pitteri, Andrea Guizzo, Laura Ferrarotti +2
In this work, we propose a novel framework for the functional controllability of the ant swarm model, a well-known and relevant model of collective behaviour. Our approach introduc…
Generative AI collective behavior needs an interactionist paradigm
Laura Ferrarotti, Gian Maria Campedelli, Roberto Dessì +7
In this article, we argue that understanding the collective behavior of agents based on large language models (LLMs) is an essential area of inquiry, with important implications in…
Predicting human cooperation: sensitizing drift-diffusion model to interaction and external stimuli
Lucila G. Alvarez-Zuzek, Laura Ferrarotti, Bruno Lepri +1
As humans perceive and actively engage with the world, we adjust our decisions in response to shifting group dynamics and are influenced by social interactions. This study aims to…
SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
Mátyás Vincze, Laura Ferrarotti, Leonardo Lucio Custode +2
Continuous control tasks often involve high-dimensional, dynamic, and non-linear environments. State-of-the-art performance in these tasks is achieved through complex closed-box po…
Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation
Laura Ferrarotti, Massimiliano Luca, Gabriele Santin +9
Optimizing traffic dynamics in an evolving transportation landscape is crucial, particularly in scenarios where autonomous vehicles (AVs) with varying levels of autonomy coexist wi…