Artificial intelligence (AI) relies on data and algorithms. State-of-the-art (SOTA) AI smart algorithms have been developed to improve the performance of AI-oriented structures. However, model-centric approaches are limited by the absence of high-quality data. Data-centric AI is an emerging...

Mixed Nash equilibria are a cornerstone of game theory, but their empirical relevance has always been controversial. We study in the laboratory two games whose unique NE is in completely mixed strategies; other treatments include the matching protocol (pairwise random vs population...

This paper reports results of a 100-round Yes-No game experiment conducted under the random matching protocol. In contrast to ultimatum bargaining, the responder in the Yes-No game decides whether to accept without knowing the proposer’s offer. Although both games have the same solution...

This paper experimentally investigates social learning in a two-agent prediction game with both exogenous and endogenous ordering of decisions and a continuous action space. Given that individuals regularly fail to apply rational timing, we refrain from implementing optimal timing of decisions...