Author

German Castignani

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#artificial intelligence Preprint Oct 2026

When Numbers Start Talking: Numerical Signalling and Strategic Behaviour Among LLMs

Large language model (LLM)-based agents increasingly operate in multi-agent systems (MAS) characterised by strategic interaction. However, little is known about whether, and to what extent, different types of messages affect the outcomes of strategic games. By investigating AI agents based on four popular LLMs, playing...

Alessio Buscemi, Daniele Proverbio, A. Di Stefano et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Designing a Boundary Negotiating Artifact for Collaborative Socio-Technical Sense-Making in AI Regulatory Sandboxes

A Boundary Negotiating Artifact is designed as a way to mediate meaning in AIRSes, providing an interface for the different stakeholders to collaborate in AI assessment and positioning it as technical backbone in established AIRS frameworks, structuring the collaborative sense-making of the involved stakeholders.

Idoia Landa-Oregi, Tom Deckenbrunnen, Alessio Buscemi et al. · 0 citations

#artificial intelligence Conference Open access Jan 2026

Bathtubs, Boundaries, and Sandboxes: AI Regulatory Learning Under Legal Uncertainty

It is argued that legal uncertainty cannot be fully reduced ex ante and that, within reasonable bounds, it is also necessary for regulatory learning because it creates the space in which boundary negotiation over socio-technical meaning can occur.

Tom Deckenbrunnen, Alessio Buscemi, M. Almada et al. · Proceedings of the AAAI/ACM... · 4 citations