Human and Machine 'Quick Modeling'
Jakob Bernasconi, Karl Gustafson · Neural Information Processing Systems · 1991
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 procedures and neural net processing are given. From these, we conjecture that human reasoning is better represented by the latter, but substantially different from both. Implications for the 'strong convergence hypothesis' between neural networks and machine learning are discussed, now expanded to include human reasoning comparisons.