一个不受内存错误影响的lsamvy Walk模型

IF 0.5 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Parallel Processing Letters Pub Date : 2023-10-25 DOI:10.1142/s0129626423400108
Tomoko Sakiyama, Masao Okawara
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引用次数: 0

摘要

本文研究了记忆误差对作者提出的随机行走模型(方向比较(DC)模型)的影响。在直流模型中,步行者有时会改变其方向规则,这取决于当前方向与过去运动方向的方向不一致。在这里,我们将两种不同类型的记忆错误引入到DC模型中:回忆错误和方向错误。我们发现DC模型不受前一种误差的影响,这表明我们的模型对某些类型的误差具有鲁棒性。
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A Lévy Walk Model not Affected by the Memory Error
In this paper, we investigate the influence of memory errors on a random walk model (the direction-comparison (DC) model), which was developed by the authors. In the DC model, a walker sometimes alters its directional rule, which is dependent on the directional inconsistency between the current direction and the past movement direction. Here, we introduced two different types of memory errors into the DC model: the recall error and the direction error. We found that the DC model was not influenced by a former type of error, suggesting that our model could be robust against some kinds of errors.
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来源期刊
Parallel Processing Letters
Parallel Processing Letters COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
0.90
自引率
25.00%
发文量
12
期刊介绍: Parallel Processing Letters (PPL) aims to rapidly disseminate results on a worldwide basis in the field of parallel processing in the form of short papers. It fills the need for an information vehicle which can convey recent achievements and further the exchange of scientific information in the field. This journal has a wide scope and topics covered included: - design and analysis of parallel and distributed algorithms - theory of parallel computation - parallel programming languages - parallel programming environments - parallel architectures and VLSI circuits
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