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20202026
most citedBoth eyes open: Vigilant Incentives help Regulatory Markets improve AI Safety

4 citations · 9 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.GT2026

Cooperation Without Adaptation: LLM Agents in a Collective-Risk Dilemma

Trung-Kiet Huynh, Dao-Sy Duy-Minh, Chi-Nguyen Tran +4

Language-model agents are increasingly deployed to act on behalf of people in settings where individual decisions shape shared outcomes. We examine whether five production models a…

cs.GT2026

Network Topology Shapes AI Intervention Effectiveness on Deception: Truth-Telling vs. Investigative Agents

Zhao Song, Stefan Sarkadi, The Anh Han

Deploying AI agents to combat dishonest communication is an intuitive response to deception in hybrid human-AI societies. However, the efficacy of such interventions in realistic n…

cs.GT2026

Network Reciprocity Shapes Evolutionary Cybersecurity Dynamics

Adeela Bashir, Zia Ush Shamszaman, Zhao Song +1

AI-assisted cybersecurity systems are characterised by continuous adaptation between attackers and defenders, making evolutionary game theory a natural framework for studying their…

cs.GT2025

Evolution of Coordination Through Institutional Incentives: An Evolutionary Game Theory Approach

Ndidi Bianca Ogbo, Zhao Song, The Anh Han

There is a broad recognition that commitment-based mechanisms can promote coordination and cooperative behaviours in both biological populations and self-organised multi-agent syst…

cs.GT2020

Making an Example: Signalling Threat in the Evolution of Cooperation

Theodor Cimpeanu, The Anh Han

Social punishment has been suggested as a key approach to ensuring high levels of cooperation and norm compliance in one-shot (i.e. non-repeated) interactions. However, it has been…