Emergence of Learning Biases and Structuring of Language Caused by Infant Agent with Symmetry Bias
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Accession number;07A0176819
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| Title;Emergence of Learning Biases and Structuring of Language Caused by Infant Agent with Symmetry Bias |
| Author;
SHINOHARA SHUJI
(Graduate School of Engineering, Toyohashi Univ. Technol., JPN)
TAGUCHI RYO
(Graduate School of Engineering, Toyohashi Univ. Technol., JPN)
HASHIMOTO TAKASHI
(Japan Advanced Inst. Sci. and Technol., Hokuriku)
KATSURADA KOICHI
(Graduate School of Engineering, Toyohashi Univ. Technol., JPN)
NITTA TSUNEO
(Graduate School of Engineering, Toyohashi Univ. Technol., JPN)
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Journal Title;IPSJ Transactions on Database
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Journal Code:Z0778A
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ISSN:0387-5806
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VOL.48;NO.SIG2(TOM16);PAGE.125-146(2007)
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| Figure&Table&Reference;FIG.25, TBL.7, REF.26 |
| Pub. Country;Japan |
| Language;Japanese |
| Abstract;Recently, it has been found that human infants acquire language effectively by utilizing learning biases such as shape bias and mutual exclusivity principle, etc.. In order that these biases benefit word learning, they need to be consistent with the language which the infants should learn. In this study, we have constructed a simple model of infant agent (IA) by implementing a vocabulary aquisition mechanism, which is derived from the assumption that an agent has consistent beliefs in communication, and have explored the following two problems: (1) How does language spoken by IA change with generation transitions? (2) Which biases does child-IA produce, depending on the language taught by parent-IA? Our simulation results show that the language evolves into the structure fitting for learning ability of IA, and IA develops various biases through learning the structured language and comes to acquire language more efficiently. (author abst.) |
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