Human and computer learning: An experimental study
| dc.creator | Tsallis, Alexandra C. | |
| dc.creator | Tsallis, Constantino | |
| dc.creator | de Magalhaes, Aglae C. N. | |
| dc.creator | Tamarit, Francisco A. | |
| dc.date | 2004-10-04 | |
| dc.date.accessioned | 2026-07-07T05:58:40Z | |
| dc.date.available | 2026-07-07T05:58:40Z | |
| dc.description | Simple memorizing tasks have been chosen such as a binary code on a matrix. After the establishment of an appropriate protocol, the codified matrices were individually presented to 150 university students who had to memorize them. A computer simulation for a similar task is available which uses a perceptron on which an algorithm was implemented allowing for some degree of globality (technically referred to as entropic nonextensivity within a current generalization of the usual, Boltzmann-Gibbs, statistical mechanics). Our main observation is that, for the very specific learning task on which we focus here, humans perform similarly to slightly nonextensive perceptrons. | |
| dc.description | To appear in Complexus (Karger, Basel). 9 pages including 12 figures | |
| dc.identifier | https://arxiv.org/abs/q-bio/0410005 | |
| dc.identifier | http://arxiv.org/abs/q-bio/0410005 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/88445 | |
| dc.subject | Neurons and Cognition | |
| dc.subject | Other Quantitative Biology | |
| dc.title | Human and computer learning: An experimental study | |
| dc.type | text |