Modulation effect with global ambiguity in 2-dimensional random walk
Modulation effect with global ambiguity in 2-dimensional random walk
复制标题
二维随机游走中具有全局模糊性的调制效应
DOI：
10.1080/17445760.2015.1016518
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
T and Gunji YP
中科院分区：
文献类型：
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作者：
Sakiyama;T and Gunji YP
在这里，我们开发了一个二维多智能体随机游走算法。在我们的算法中，代理相互作用，并通过本地检测其他代理的移动方向来改变自己的方向规则。除此之外，我们还引入了调制效应，其中代理控制规则间隔取决于本地其他代理的数量。我们表明，调制效应，引入全局模糊性，在建立最佳的随机游走检查的斜率值（μ），取决于代理的密度起着至关重要的作用。建立了加调制模型和不加调制模型。后者是控制模型。在非调制模型的情况下，斜率值（μ）高度依赖于试剂的密度。然而，在添加调制的模型的情况下，斜率值（μ）是灵活的并且与代理的密度无关。
Here, we developed a two-dimensional multi-agent random walk algorithm. In our algorithm, agents interact with each other and change their directional rules by locally detecting moving directions of other agents. In addition to that, we introduced modulation effects in which agents controlled rule-intervals depending on number of local other agents. We show that modulation effects which introduce global ambiguity play a crucial role in establishing optimal random walk by checking the slope value (μ), depending on the density of agents. We set a modulation-added model and non-modulation model. The latter is control model. In case of non-modulation model, the slope values (μ) highly depend on the density of agents. However, in case of modulation-added model, the slope values (μ) are flexible and independent of the density of agents.