5 papers
The Many-Body Problem of the Data Centre
Marcin Korecki, Cesare Carissimo
Modern Artificial Intelligence is often framed as limited by its own disembodiment, as if giving it a body would unlock its true potential. We argue to the contrary that it is the…
Algorithmic Collusion is Algorithm Orchestration
Cesare Carissimo, Fryderyk Falniowski, Siavash Rahimi +1
We propose a fresh `meta-game' perspective on the problem of algorithmic collusion in pricing games a la Bertrand. Economists have interpreted the fact that algorithms can learn to…
Does Capital Dream of Artificial Labour?
Marcin Korecki, Cesare Carissimo
This paper investigates the concept of Labour as an expression of `timenergy' - a fusion of time and energy - and its entanglement within the system of Capital. We define Labour as…
Overcoming the Price of Anarchy by Steering with Recommendations
Cesare Carissimo, Marcin Korecki, Damian Dailisan
Varied real world systems such as transportation networks, supply chains and energy grids present coordination problems where many agents must learn to share resources. It is well…
Cycles and collusion in congestion games under Q-learning
Cesare Carissimo, Jan Nagler, Heinrich Nax
We investigate the dynamics of Q-learning in a class of generalized Braess paradox games. These games represent an important class of network routing games where the associated sta…