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A burgeoning literature shows that self-learning algorithms may, under some conditions, reach seemingly-collusive outcomes: after repeated interaction, competing algorithms earn supra-competitive profits, at the expense of efficiency and consumer welfare. However, these simulations results,...
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A booming literature describes how artificial intelligence algorithms (AIAs) may autonomously learn to generate supra-competitive profits. Key to the widespread interpretation of the phenomena as ``collusion'', is the observation that the unilateral price cuts of an agent are followed by several...
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