RT Monograph
SR 00
A1 Assad, Stephanie
A1 Calvano, Emilio
A1 Calzolari, Giacomo
A1 Clark, Robert
A1 Denicolo, Vincenzo
A1 Ershov, Daniel
A1 Johnson, Justin Pappas
A1 Pastorello, Sergio
A1 Rhodes, Andrew
A1 XU, Lei
A1 Wildenbeest, Matthijs
T1 Autonomous algorithmic collusion: economic research and policy implications
YR 2021
FD 2021-03
VO 21-1210
SP 24
K1 Algorithmic Pricing
K1 Antitrust
K1 Competition Policy
K1 Artificial Intelligence
K1 Collusion
K1 Platforms.
AB Markets are being populated with new generations of pricing algorithms, powered with Artificial Intelligence, that hve the ability to autonomously learn to operate. This ability can be both a source of efficiency and cause of concern for the risk that algorithms autonomously and tacitly learn to collude. In this paper we explore recent developments in the economic literature and discuss implications for policy.
T2 TSE Working Paper
PB TSE Working Paper
PP Toulouse
AV Published
LK https://publications.ut-capitole.fr/id/eprint/43525/
UL http://tse-fr.eu/pub/125584