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Natural changing of emotional expression by considering correlation of behavior history

机译:通过考虑行为历史的相关性来自然地改变情绪表达

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摘要

This paper presents a novel method for natural changing of emotional expression. Although formal behavior generation method using the simulated annealing algorithm selects various behaviors, there are weak correlations among behavior history. To make strong correlations, we restrict the randomness of the simulated annealing algorithm. This method sifts unapt candidate behavior combinations out by considering the previous behavior combinations and makes adequate range of candidate behavior combinations. We have verified the continuity of the proposed method using a cyber robot simulator.
机译:本文提出了一种自然改变情绪表达的新方法。尽管使用模拟退火算法的形式行为生成方法会选择各种行为,但是行为历史之间的相关性很弱。为了建立强相关性,我们限制了模拟退火算法的随机性。该方法通过考虑先前的行为组合来筛选出不适当的候选行为组合,并使候选行为组合具有足够的范围。我们已经使用网络机器人模拟器验证了所提出方法的连续性。

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