LLM sellers in a simulated double auction collude more when they can communicate, and urgency from an authority figure sustains collusion even when an overseer monitors them.
Detecting collusion in procurement auctions
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
The study aimed at detecting cartel collusion involved analyzing decisions of the Russian Federal Antimonopoly Service and data on auctions. As a result, a machine learning model was developed that predicts with 91% accuracy the signs of collusion between bidders based on their history after dividing 40 auctions into test and training samples in a 30/70 ratio. Decomposition of the model using the Shepley vector allowed the interpretation of the decision-making process. The behavior of honest companies in auctions was also studied, confirmed by independent simulation validation.
fields
cs.GT 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Evaluating LLM Agent Collusion in Double Auctions
LLM sellers in a simulated double auction collude more when they can communicate, and urgency from an authority figure sustains collusion even when an overseer monitors them.