Jakob Bernasconi, Karl Gustafson
We present here an interesting experiment in 'quick modeling' by humans, performed independently on small samples, in several languages and two continents, over the last three years. Comparisons to decision tree proce(cid:173) dures and neural net processing are given. From these, we conjecture that human reasoning is better represented by the latter, but substantially dif(cid:173) ferent from both. Implications for the 'strong convergence hypothesis' be(cid:173) tween neural networks and machine learning are discussed, now expanded to include human reasoning comparisons.