Word learning under infinite uncertainty - Simulation codes and sample output

Dataset

Description

simulation-codes.zip - a zipfile containing the codes that simulate the model, including scripts to visualise the output and documentation explaining how to compile and run the codes (file called README in the zip archive)
sample-output.zip - output from the simulation codes that was used to create the figures in the paper

Abstract

These are codes to simulate the three models of word learning described in the paper "Word Learning Under Infinite Uncertainty" by R A Blythe, A D M Smith and K Smith, to appear in Cognition. These codes can be used to determine how long it takes a learner employing a cross-situational learning strategy to correctly identify a word's target meaning under various conditions. We also provide some scripts to reproduce the figures that are presented in the paper.

Data Citation

Blythe, Richard A; Smith, Andrew D M; Smith, Kenny. (2016). Word learning under infinite uncertainty - Simulation codes and sample output, [software]. University of Edinburgh. School of Physics and Astronomy. Institute for Condensed Matter and Complex Systems. http://dx.doi.org/10.7488/ds/1345.
Date made available15 Feb 2016
PublisherEdinburgh DataShare

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