platform's recommendation algorithm. We study how such platforms should account for this external traffic in the design of …'s online algorithm selects which opportunity to recommend. In evaluating the performance of different algorithms, we refine the … shortcomings of a commonly-used algorithm that is optimal in the absence of external traffic, we propose a new algorithm - Adaptive …

transactions, there are nonetheless potential areas for improvement. Disclosure of a pricing algorithm may contravene prohibitions …

This paper investigates pricing in laboratory markets when human players interact with an algorithm. We compare the … degree of competition when exclusively humans interact to the case of one firm delegating its decisions to an algorithm, an n … -player generalization of tit-for-tat. We further vary whether participants know about the presence of the algorithm. When one …

algorithms, namely, the branch-and-bound algorithm and the nested partitions algorithm are adopted to solve this station location … problem. While both algorithms imply a divide-and-conquer strategy, the branch-and-bound algorithm poses a deterministic … algorithm performs a stochastic search and selection process in terms of the optimality probability for near-optimal solutions …

schemes under a FedL framework, which involves a platform that publishes a collaborative learning algorithm training task, and … incentive schemes and the number of participants joining the algorithm training. Our analysis shows that it is optimal for the … data contributions. By examining the optimal number of participants for the algorithm training, we find that when data …

such conduct. The third involves the introduction of a disruptive algorithm, which would disrupt algorithmic coordination …