Generalization by humans, neural nets, and ID3

Summary form only given, as follows. The authors analyzed an illustrative classification problem suggested by Quinlan and found that humans and neural nets favor a classification rule different from that preferred by the ID3 algorithm. They compared the generalization properties of the three methods and proposed estimating the quality of different classification rules by analyzing the backward prediction ability of the respective generalizations