Author

Andrea Baronchelli

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#artificial intelligence Preprint Oct 2026

Peer Influence across Heterogeneous AI Models

When two AI agents disagree, who persuades whom? As multi-agent systems increasingly combine language models of different families and sizes, the answer can determine which judgments survive interaction. Measuring persuasion as the probabilistic shift in an agent's decision after a single exchange with a dissenting pee...

Frida Nøhr Laustsen, Marie Haahr Petersen, Victoria Popa et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Indirect tipping: a social attack surface in AI agent populations

This work shows that indirect tipping through intermediate stepping-stone equilibria can reduce the committed minority required to reach an alternative state, bypass majority requirements, and make possible transitions inaccessible through direct challenges.

Arielle N. Flint, L. Aiello, S. Constantino et al. · 1 citation