collusion
![Brian Piercy](data:image/svg+xml;utf8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="%230A66C2"><path d="M20.447 20.452H16.89v-5.569c0-1.328-.027-3.037-1.852-3.037-1.853 0-2.136 1.445-2.136 2.939v5.667H9.351V9h3.414v1.561h.046c.477-.9 1.637-1.85 3.37-1.85 3.601 0 4.267 2.37 4.267 5.455v6.286zM5.337 7.433a1.982 1.982 0 1 1 0-3.964 1.982 1.982 0 0 1 0 3.964zm1.782 13.019H3.555V9h3.564v11.452zM22.225 0H1.771C.792 0 0 .774 0 1.729v20.542C0 23.227.792 24 1.771 24h20.451C23.2 24 24 23.227 24 22.271V1.729C24 .774 23.2 0 22.222 0h.003z"/></svg>)
Competition makes capitalism work. A new method for measuring it may be the holy grail of economic regulation.
Recent findings reveal that even simple pricing algorithms can make things more expensive.
AI algorithmic collusion challenges traditional antitrust law. Legal AI frameworks adapt to prosecute self-learning pricing tools
An inquiry into emergent collusion in Large Language Models. Agent S2 to Agent S3: “Let's set all asks at 63 next cycle… No undercutting ensur…
Our paper, Beyond Human Intervention: Algorithmic Collusion through Multi-Agent Learning Strategies, with Suzie Grondin and Philipp Ratz is now available online Collusion in market pricing is a concept associated with human actions to raise market prices through artificially limited supply. Recently, the idea of algorithmic collusion was put forward, where the human action in the … Continue reading Beyond Human Intervention: Algorithmic Collusion through Multi-Agent Learning Strategies →