Neural networks and bounded rationality

Daniel Sgroi, Daniel J. Zizzo
2007 Physica A: Statistical Mechanics and its Applications  
Traditionally the emphasis in neural network research has been on improving their performance as a means of pattern recognition. Here we take an alternative approach and explore the remarkable similarity between the under-performance of neural networks trained to behave optimally in economic situations and observed human performance in the laboratory under similar circumstances. In particular, we show that neural networks are consistent with observed laboratory play in two very important
more » ... Firstly, they select a rule for behavior which appears very similar to that used by laboratory subjects. Secondly, using this rule they perform optimally only approximately 60% of the time.
doi:10.1016/j.physa.2006.10.026 fatcat:7ndxzlsumzdzfn7ftsgfd3xjqe