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Application of Loose Symmetry Bias to Multiple Meaning Environment

Authors:
Ryuichi Matoba
Hiroki Sudo
Makoto Nakamura
Satoshi Tojo

Keywords: Symmetry Bias, Cognitive Bias, Iterated Learning Model

Abstract:
It is well known that the cognitive biases much accelerate the vocabulary learning. In addition, other works suggest that cognitive biases help to acquire grammar rules faster. The efficacy of the cognitive biases enables infants to connect an utterance to its meaning; even a single uttered situation contains many possible meanings. In this study, we focus on the symmetry bias which is one of the cognitive biases. The aim of this study is to evaluate the efficacy of the symmetry bias in the multiple meaning environment. In the experiments, two symmetry bias patters are utilized to evaluate the developed Meaning Selection Iterated Learning Model. The patterns are strict/loose symmetry bias with distance in languages and expressivity.

Pages: 62 to 65

Copyright: Copyright (c) IARIA, 2015

Publication date: March 22, 2015

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-390-2

Location: Nice, France

Dates: from March 22, 2015 to March 27, 2015