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Characterization of Single Length Cycle Two-Attractor Cellular Automata Using Next-State Rule Minterm Transition Diagram 单长度循环双吸引元胞自动机的下一状态规则最小项转移图表征
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-12-15 DOI: 10.25088/complexsystems.31.4.363
Suvadip Hazra, M. Dalui
Cellular automata (CAs) are simple mathematical models that are effectively being used to analyze and understand the behavior of complex systems. Researchers from a wide range of fields are interested in CAs due to their potential for representing a variety of physical, natural and real-world phenomena. Three-neighborhood one-dimensional CAs, a special class of CAs, have been utilized to develop various applications in the field of very large-scale integration (VLSI) design, error-correcting codes, test pattern generation, cryptography and others. A thorough analysis of a three-neighborhood cellular automaton (CA) with two states per cell is presented in this paper. A graph-based tool called the next-state rule minterm transition diagram (NSRTD) is presented for analyzing the state transition behavior of CAs with fixed points. A linear time mechanism has been proposed for synthesizing a special class of irreversible CAs referred to as single length cycle two-attractor CAs (TACAs), having only two fixed points.
元胞自动机(ca)是一种简单的数学模型,可以有效地用于分析和理解复杂系统的行为。来自广泛领域的研究人员对CAs感兴趣,因为它们具有代表各种物理、自然和现实世界现象的潜力。三邻域一维ca是一类特殊的ca,在VLSI设计、纠错码、测试模式生成、密码学等领域有着广泛的应用。本文对具有两种状态的三邻域元胞自动机(CA)进行了深入分析。提出了一种基于图的下一状态规则短时转移图(NSRTD)工具,用于分析具有不动点的ca的状态转移行为。本文提出了一种线性时间机制来合成一类特殊的不可逆CAs,即只有两个不动点的单长周期双吸引子CAs (TACAs)。
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引用次数: 0
Combining Algorithmic Information Dynamics Concepts and Machine Learning for Electroencephalography Analysis: What Can We Get? 结合算法信息动力学概念和机器学习进行脑电图分析:我们能得到什么?
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-12-15 DOI: 10.25088/complexsystems.31.4.389
Victor Iapascurta
Electroencephalography (EEG) as an example of electrophysiological monitoring methods has a rather long history of successful application for the diagnosis and treatment of diseases, and this success would not have been possible without effective methods of mathematical, and more recently, computer analysis. Most of these methods are based on statistics. Among the methods of EEG analysis, there is a group of methods that use different versions of Shannon’s entropy estimation as a “main component” and that do not differ significantly from traditional statistical approaches. Despite the external similarity, another approach is to use the Kolmogorov–Chaitin definition of complexity and the concepts of algorithmic information dynamics. The algorithmic dynamics toolbox includes techniques (e.g., block decomposition method) that appear to be applicable to EEG analysis. The current paper is an attempt to use the block decomposition method along with the recent addition to the management of EEG data provided by machine learning, with the ultimate goal of making this data more useful to researchers and medical practitioners.
脑电图(EEG)作为电生理监测方法的一个例子,在疾病的诊断和治疗方面有着相当长的成功应用历史,如果没有有效的数学方法和最近的计算机分析,这种成功是不可能的。这些方法大多是基于统计的。在脑电图分析的方法中,有一组方法使用不同版本的香农熵估计作为“主成分”,与传统的统计方法没有显著差异。尽管外部相似,另一种方法是使用Kolmogorov-Chaitin对复杂性的定义和算法信息动力学的概念。算法动力学工具箱包括似乎适用于脑电图分析的技术(例如,块分解方法)。目前的论文是尝试使用块分解方法以及最近增加的机器学习提供的EEG数据管理,最终目标是使这些数据对研究人员和医疗从业者更有用。
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引用次数: 0
Benchmarking the Influential Nodes in Complex Networks 复杂网络中影响节点的基准测试
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-11-18 DOI: 10.1142/s0219525922500102
Owais A. Hussain, M. Ahmad, Faraz Zaidi
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引用次数: 0
Editorial: a Topical Issue on Cultural Complexity 社论:一个关于文化复杂性的话题
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-11-11 DOI: 10.1142/s0219525922020027
Ramona Roller, Maximilian Schich, Hyejin Youn, M. Tamm
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引用次数: 0
Dissipative Arithmetic 耗散算术
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-10-15 DOI: 10.25088/complexsystems.31.3.287
W. Langdon
Large arithmetic expressions are dissipative: they lose information and are robust to perturbations. Lack of conservation gives resilience to fluctuations. The limited precision of floating point and the mixture of linear and nonlinear operations make such functions anti-fragile and give a largely stable locally flat plateau a rich fitness landscape. This slows long-term evolution of complex programs, suggesting a need for depth-aware crossover and mutation operators in tree-based genetic programming. It also suggests that deeply nested computer program source code is error tolerant because disruptions tend to fail to propagate, and therefore the optimal placement of test oracles is as close to software defects as practical.
大的算术表达式是耗散的:它们丢失信息并且对扰动具有鲁棒性。缺乏守恒使波动具有弹性。浮点的有限精度以及线性和非线性运算的混合使得这些函数具有抗脆弱性,并赋予了一个基本稳定的局部平坦平台丰富的适应度景观。这减缓了复杂程序的长期进化,表明在基于树的遗传规划中需要深度感知的交叉和突变算子。它还表明,深度嵌套的计算机程序源代码是容错性的,因为中断往往无法传播,因此测试预言机的最佳位置尽可能接近实际的软件缺陷。
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引用次数: 0
Parametric Validation of the Reservoir Computing-Based Machine Learning Algorithm Applied to Lorenz System Reconstructed Dynamics 基于油藏计算的机器学习算法在Lorenz系统重构动力学中的参数验证
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-10-15 DOI: 10.25088/complexsystems.31.3.311
Samuele Mazzi, D. Zarzoso
A detailed parametric analysis is presented, where the recent method based on the reservoir computing paradigm, including its statistical robustness, is studied. It is observed that the prediction capabilities of the reservoir computing approach strongly depend on the random initialization of both the input and the reservoir layers. Special emphasis is put on finding the region in the hyperparameter space where the ensemble-averaged training and generalization errors together with their variance are minimized. The statistical analysis presented here is based on the projection on proper elements method.
提出了详细的参数分析,其中研究了基于油藏计算范式的最新方法,包括其统计稳健性。结果表明,储层计算方法的预测能力在很大程度上依赖于输入和储层的随机初始化。特别强调在超参数空间中寻找集平均训练误差和泛化误差及其方差最小的区域。本文提出的统计分析是基于适当元投影法。
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引用次数: 0
Mapping the Networked Context of Copernicus, Michelangelo, and della Mirandola in Wikipedia 绘制哥白尼、米开朗基罗和德拉·米兰多拉在维基百科中的网络背景
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-10-05 DOI: 10.1142/s0219525922400100
Luis A. Miccio, Carlos Gámez-Pérez, Juan-Luis Suárez, G. A. Schwartz
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引用次数: 0
Cascades in World input-output Network: illusion of stability 世界输入输出网络中的级联:稳定性幻觉
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-09-23 DOI: 10.1142/s0219525922500084
A. Leonidov, S. Radionov, E. Vasilyeva
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引用次数: 0
A dynamical Systems Perspective on the Detection of Racial Profiling 动态系统视角下的种族定性检测
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-09-21 DOI: 10.1142/s0219525922500072
S. Herminghaus, Knut M. Heidemann
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引用次数: 0
Towards a Measure of harmonic Complexity in Western Classical Music 论西方古典音乐和声复杂性的尺度
IF 0.4 4区 数学 Q3 Engineering Pub Date : 2022-09-09 DOI: 10.1142/s0219525922400082
M. Nardelli, G. Culbreth, M. Fuentes
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引用次数: 1
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