ABSTRACT
Much of the subsequent work that builds off of Surowiecki’s text is highly computational in nature and the discussions often focus on the adjustment of small details in the modeling of knowledge aggregation. Many of the articles that build off of Surowiecki’s work apply his
concepts to advanced mathematical, statistical, or economic problems, such as the modeling of stock market predictions, or the influence of other factors in determining crowd accuracy, or the behavior of herding animal populations. Although these research findings and their comments on Surowiecki’s presentation of crowd intelligence theory are significant in establishing the importance of The Wisdom of Crowds, it is difficult to discuss this portion of the use of Surowiecki’s argument outside of those subject-specific academic communities mentioned.
