We aim to understand fundamental preferences over fairness and cooperation embedded in artificial intelligence (AI). We do this by having a large language model (LLM), GPT-3.5, play two classic games: the dictator game and the prisoner's dilemma. We compare the decisions of the LLM to those of...

We analyze the first model of a group contest with players that are heterogeneous in their risk preferences. In our model, individuals' preferences are represented by a utility function exhibiting a generalized form of constant absolute risk aversion, allowing us to consider any combination of...

In this paper, we ask a fundamental design question in the theory of contests: Should contestants and reward money be pooled into a single grand contest, or should they be divided into parallel subcontests? We theoretically explore optimal divisioning using Tullock’s lottery contest framework...