Chaos Theory Tamed

Williams, Garnett P.

doi:10.1201/9781482295412

Cited by 396 publications

(243 citation statements)

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“…Methodological advancements such as sophisticated agent-based modeling (Chatfield, Kim, Harrison, & Hayya, 2004;Sawaya, 2006;Pathak, Dilts, & Biswas, 2007), cellular automata (Wolfram, 2002;Mizraji, 2004), dynamical systems theory (Surana et al, 2005), dynamic networks analysis (Carley, forthcoming), and empirical and case-study methods (Varga & Allen, 2006) have been applied to problems ranging from nursing and health care domains (Anderson, Issel, & McDaniel, 2003) to supply networks (Thadakamalla, Raghavan, Kumara, & Albert, 2004). Analysis techniques used within these articles include chaos theory (Strogatz, 1994), computational and statistical mechanics (Shalizi, 2001), and nonlinear time series methods (Williams, 1997). Table 1 summarizes some of these Lin and Shaw (1998), Swaminathan et al (1998); Tan (1999), Chatfield (2001), Iwanaga and Namatame (2002), Rivkin and Siggelkow (2002), Wolfram (2002), Anderson et al (2003), Skvoretz (2003), Stiller (2003) On careful examination, we note an interesting trend.…”

Section: New Developments In Cas and Their Applicability To Scm Researchmentioning

confidence: 99%

“…For example, many phenomena in supply networks occur over time, and it will be crucial to examine the evolution of the supply network over an extended time horizon. Such a behavior could be measured and depicted using attractors and the corresponding lags at which attractors are reconstructed (Williams, 1997). Furthermore, because phenomena in an evolving supply chain occur at different levels, they must be captured at the firm, topology, and systems levels.…”

Section: Challenges Of Theory Development With a Cas Perspectivementioning

confidence: 99%

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Complexity and Adaptivity in Supply Networks: Building Supply Network Theory Using a Complex Adaptive Systems Perspective*

et al. 2007

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Supply networks are composed of large numbers of firms from multiple interrelated industries. Such networks are subject to shifting strategies and objectives within a dynamic environment. In recent years, when faced with a dynamic environment, several disciplines have adopted the Complex Adaptive System (CAS) perspective to gain insights into important issues within their domains of study. Research investigations in the field of supply networks have also begun examining the merits of complexity theory and the CAS perspective. In this article, we bring the applicability of complexity theory and CAS into sharper focus, highlighting its potential for integrating existing supply chain management (SCM) research into a structured body of knowledge while also providing a framework for generating, validating, and refining new theories relevant to real-world supply networks. We suggest several potential research questions to emphasize how a * We sincerely thank Professors Thomas Choi (Arizona State University), David Dilts (Vanderbilt University), and Kevin Dooley (Arizona State University) for their help, guidance, and support. † Corresponding author. 548 Complexity and Adaptivity in Supply NetworksCAS perspective can help in enriching the SCM discipline. We propose that the SCM research community adopt such a dynamic and systems-level orientation that brings to the fore the adaptivity of firms and the complexity of their interrelations that are often inherent in supply networks.

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Section: New Developments In Cas and Their Applicability To Scm Researchmentioning

confidence: 99%

Section: Challenges Of Theory Development With a Cas Perspectivementioning

confidence: 99%

Complexity and Adaptivity in Supply Networks: Building Supply Network Theory Using a Complex Adaptive Systems Perspective*

et al. 2007

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“…The SSA method reconstructs signals in a k-dimensional phase space with time delay equal to one unit. The method is more sophisticated than the time delay method of [10], but it has the potential of providing more information. In the SSA method, after reconstructing a signal in a phase space, the signal is decomposed into several components.…”

Section: Ssa Methodsmentioning

confidence: 99%

Heart Sound Localization in Respiratory Sounds Based on Singular Spectrum Analysis and Frequency Features

Molaie¹,

Moradi²

2015

ETRI J

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Heart sounds are the main obstacle in lung sound analysis. To tackle this obstacle, we propose a diagnosis algorithm that uses singular spectrum analysis (SSA) and frequency features of heart and lung sounds. In particular, we introduce a frequency coefficient that shows the frequency difference between heart and lung sounds. The proposed algorithm is applied to a synthetic mixture of heart and lung sounds. The results show that heart sounds can be extracted successfully and localizations for the first and second heart sounds are remarkably performed. An error analysis of the localization results shows that the proposed algorithm has fewer errors compared to the SSA method, which is one of the most powerful methods in the localization of heart sounds. The presented algorithm is also applied in the cases of recorded respiratory sounds from the chest walls of five healthy subjects. The efficiency of the algorithm in extracting heart sounds from the recorded breathing sounds is verified with power spectral density evaluations and listening. Most studies have used only normal respiratory sounds, whereas we additionally use abnormal breathing sounds to validate the strength of our achievements.

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“…Implicitly, this principle was adopted by Schumm (1973) when he introduced the idea of complex response. Phillips (1999b) states that there are at least three scale ranges where fundamental system behaviour differs: the sub-chaotic scale of deterministic mechanics; the unstable/ chaotic landscape scale and the broader scale defined by the inherent limits on divergent evolution (see Williams 1997). If our world is, in reality, stratified, there are philosophical issues which have scarcely been engaged by geomorphologists; Church et al (1999) used an empirical approach by combining fractality and theory hierarchy in their attempts to deal with spatially variable suspended sediment yields across Canada.…”

Section: A Stratified Geomorphological World?mentioning

confidence: 99%

The Future of Geomorphology

Slaymaker

2009

Geography Compass

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This article describes a personal perception of a promising way forward for the discipline of geomorphology. Four challenges and potential solutions are identified. First, the intellectual rationale and philosophical basis of geomorphology could benefit by exploring the framework of critical realism, a framework which recognizes that human experience is as real as the existence of elementary particles. Second, greater effort should perhaps be given to defining the ‘natural kinds’ which are the objects of geomorphological study. Third, the balance between geomorphological geohistory and process geomorphology requires constant attention. And fourth, the increasingly anthropogenic nature of landscape requires that geomorphologists reinforce their commitment to environmental conservation and social justice. The net effect of these trends might well increase informed geomorphological commentary on ethical implications of global landform and landscape changes.

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Chaos Theory Tamed

Cited by 396 publications

References 0 publications

Complexity and Adaptivity in Supply Networks: Building Supply Network Theory Using a Complex Adaptive Systems Perspective*

Complexity and Adaptivity in Supply Networks: Building Supply Network Theory Using a Complex Adaptive Systems Perspective*

Heart Sound Localization in Respiratory Sounds Based on Singular Spectrum Analysis and Frequency Features

The Future of Geomorphology

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