most citedDisentangling trust from cooperation: Evolution of trust as reduced monitoring in social dilemmas

3 citations · 3 across the 1 of their papers we have counts for

collaborators

6 papers

cs.GT20263 cited

Disentangling trust from cooperation: Evolution of trust as reduced monitoring in social dilemmas

Cedric Perret, The Anh Han, Elias Fernández Domingos +2

It is commonly assumed that trust increases cooperation. However, game-theoretic models often fail to distinguish between cooperative actions and trust, making it difficult to inde…

cs.AI2025

Can Media Act as a Soft Regulator of Safe AI Development? A Game Theoretical Analysis

Henrique Correia da Fonseca, António Fernandes, Zhao Song +15

When developers of artificial intelligence (AI) products need to decide between profit and safety for the users, they likely choose profit. Untrustworthy AI technology must come pa…

cs.MA2025

The evolutionary advantage of guilt: co-evolution of social and non-social guilt in structured populations

Theodor Cimpeanu, Luis Moniz Pereira, The Anh Han

Building ethical machines may involve bestowing upon them the emotional capacity to self-evaluate and repent on their actions. While apologies represent potential strategic interac…

cs.AI2025

Do LLMs trust AI regulation? Emerging behaviour of game-theoretic LLM agents

Alessio Buscemi, Daniele Proverbio, Paolo Bova +15

There is general agreement that fostering trust and cooperation within the AI development ecosystem is essential to promote the adoption of trustworthy AI systems. By embedding Lar…

cs.AI2025

Media and responsible AI governance: a game-theoretic and LLM analysis

Nataliya Balabanova, Adeela Bashir, Paolo Bova +15

This paper investigates the complex interplay between AI developers, regulators, users, and the media in fostering trustworthy AI systems. Using evolutionary game theory and large…

cs.MA2025

Multi-Agent Risks from Advanced AI

Lewis Hammond, Alan Chan, Jesse Clifton +41

The rapid development of advanced AI agents and the imminent deployment of many instances of these agents will give rise to multi-agent systems of unprecedented complexity. These s…