Individual behaviors, social learning, and swarm intelligence: Real case and counterfactuals

作者：

Highlights：

• Social knowledge can be precisely evaluated by social simulations.

• Our optimal solution can best match reality and infer counterfactuals.

• We obtain the payoff matrix, which was fixed and given in game theory.

• Social welfare can be enhanced by swarm intelligence of social learning.

摘要

•Social knowledge can be precisely evaluated by social simulations.•Our optimal solution can best match reality and infer counterfactuals.•We obtain the payoff matrix, which was fixed and given in game theory.•Social welfare can be enhanced by swarm intelligence of social learning.

论文关键词：Social knowledge,Agent-based model,Swarm intelligence,Counterfactuals

论文评审过程：Received 22 October 2021, Revised 23 May 2022, Accepted 13 June 2022, Available online 27 June 2022, Version of Record 30 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117878