dorsal/arxiv
View SchemaHuman and computer learning: An experimental study
| Authors | Alexandra C. Tsallis, Constantino Tsallis, Aglae C. N. de Magalhaes, Francisco A. Tamarit |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0410005 |
| URL | https://arxiv.org/abs/q-bio/0410005 |
Abstract
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.
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"abstract": "Simple memorizing tasks have been chosen such as a binary code on a matrix.\nAfter the establishment of an appropriate protocol, the codified matrices were\nindividually presented to 150 university students who had to memorize them. A\ncomputer simulation for a similar task is available which uses a perceptron on\nwhich an algorithm was implemented allowing for some degree of globality\n(technically referred to as entropic nonextensivity within a current\ngeneralization of the usual, Boltzmann-Gibbs, statistical mechanics). Our main\nobservation is that, for the very specific learning task on which we focus\nhere, humans perform similarly to slightly nonextensive perceptrons.",
"arxiv_id": "q-bio/0410005",
"authors": [
"Alexandra C. Tsallis",
"Constantino Tsallis",
"Aglae C. N. de Magalhaes",
"Francisco A. Tamarit"
],
"categories": [
"q-bio.NC",
"q-bio.OT"
],
"title": "Human and computer learning: An experimental study",
"url": "https://arxiv.org/abs/q-bio/0410005"
},
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