Effect of symmetry bias on linguistic evolution

Effect of symmetry bias on linguistic evolution
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对称偏差对语言进化的影响

DOI:
10.1007/s10015-016-0276-7
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发表时间:
2016
期刊:
Artificial Life and Robotics, (), 1-8
影响因子:
--
通讯作者:
A. Tsukada
A. Tsukada
中科院分区:
--
文献类型:
--
作者:
H. Sudo ;R. Matoba;T. Cooper;A. Tsukada

文献摘要

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正如本文所描述的,我们研究了对称性偏见对语言进化的影响。我们特别研究了对称性偏差,它表明了环境状态中的意义。为此,我们在Simon Kirby的迭代学习模型的基础上构建了一个意义选择迭代学习模型,并使用它进行了三种策略的模拟:完美匹配对称偏差、不完美匹配对称偏差和随机策略。应用不完全匹配对称偏置的结果表明,代理的语言演变成更多的组合语言。该代理获得了一个更有表现力,更相似的语言,父母的语言比随机策略代理。然而,完美匹配对称偏置的应用表明,代理人的语言并没有进化。该代理获得了一个更少的表达和不同的语言,父母的语言比随机策略代理。我们的实验结果表明,不完全匹配的对称性偏差的影响加速语言的演变成组合语言,而完美匹配的对称性偏差干扰语言的演变。
As described in this paper, we investigated the effect of the symmetry bias on linguistic evolution. We specifically examined symmetry bias, which indicates the meaning in a state of environment. For this task, we constructed a meaning selection iterated learning model based on Simon Kirby’s iterated learning Model, and used it for simulation with three strategies: perfect matching symmetry bias, imperfect matching symmetry bias, and random strategy. Results of applying imperfect matching symmetry bias show that the language of the agent evolved into more compositional language. The agent acquired a more expressive, and a more similar language to the parent’s language than with the Random strategy agent. However, application of perfect matching symmetry bias showed that the language of the agent did not evolve. The agent acquired a less expressive and a more different language to the parent’s language than with Random strategy agent. Our experimentally obtained results demonstrate that the effect of imperfect matching symmetry bias accelerates linguistic evolution into compositional language, whereas perfect matching symmetry bias disturbs linguistic evolution.