Relevant bibliographies by topics / A complex system approach

Academic literature on the topic 'A complex system approach'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "A complex system approach"

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Vrana, I., and J. Vrána. "Approach to comparing complex software implementation methods." Agricultural Economics (Zemědělská ekonomika) 51, No. 2 (February 20, 2012): 84–92. http://dx.doi.org/10.17221/5081-agricecon.

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Some of agriculture-food sector information systems are characterised by a high complexity and a large size. There are often many alternative solutions or technologies (implementation methods) and more then one possible way or approach to an information system design. Individual alternatives could considerably differ by their properties, e.g. costs of design of initial functionality, development and operational costs, run-time costs and technical parameters of the resulting information system (e.g. the access time). Unfortunately, existing metrics for quantification of this task usually do not deliver precise results but a rough estimate depending on many variable conditions. The paper will outline typical implementation methods and show approaches to assessment and comparison of certain types of properties of information systems for a computer support for management of large data systems, which use relational database. Authors presented part of these results also at the Agrarian Perspectives conference 2004 in the Applied Informatics session (Vrana I., Vrána J. 2004).
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Mirchandani, Chandru. "System Test Approach for Complex Software Systems." INSIGHT 24, no. 2 (July 2021): 32–37. http://dx.doi.org/10.1002/inst.12338.

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Fajkowska, M. "A Complex-System Approach to Personality." Personality and Individual Differences 60 (April 2014): S18. http://dx.doi.org/10.1016/j.paid.2013.07.380.

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Saheb, Faiza, and Mohamed Batouche . "A Multi-agents System Approach for Designing Complex Systems." Information Technology Journal 5, no. 6 (October 15, 2006): 1117–21. http://dx.doi.org/10.3923/itj.2006.1117.1121.

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Tsilipanos, Kosmas, Ioannis Neokosmidis, and Dimitris Varoutas. "Modeling Complex Telecom Investments: A System of Systems Approach." IEEE Transactions on Engineering Management 62, no. 4 (November 2015): 631–42. http://dx.doi.org/10.1109/tem.2015.2476840.

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Svyantek, Daniel J., and Linda L. Brown. "A Complex-Systems Approach to Organizations." Current Directions in Psychological Science 9, no. 2 (April 2000): 69–74. http://dx.doi.org/10.1111/1467-8721.00063.

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The physical sciences have developed new theories of nonlinear behavior of complex systems. Defining characteristics of complex systems include (a) being composed of many variables that interact strongly to determine system behavior, (b) sensitivity to initial conditions, and (c) stability across time. Two complex-system concepts, phase spaces and attractors, provide insight into the evolution of system behavior and make prediction of future behavior possible. It is proposed that complex-systems research has application to the study of organizations and social behavior. Organizational attractors exist and seem to be both sensitive to initial conditions and stable. The discussion of concepts from complex systems, and their application to organizations, provides insight into how organizational research should be conducted. If organizations are assumed to exhibit nonlinear behavior, more historical, longitudinal, and qualitative research methods should be used to provide context-specific descriptions of organizational behavior.
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LAUTERBORN, W., E. SCHMITZ, and A. JUDT. "EXPERIMENTAL APPROACH TO A COMPLEX ACOUSTIC SYSTEM." International Journal of Bifurcation and Chaos 03, no. 03 (June 1993): 635–42. http://dx.doi.org/10.1142/s0218127493000532.

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A liquid is subjected to sound of high intensity to generate a cloud of cavities or bubbles. The correlation between the sound output from the bubble cloud, which follows a subharmonic route to chaos with a low-dimensional strange attractor, and its spatial dynamics is investigated. Several approaches are used. In a light transmission experiment the light modulation resulting from the spatial dynamics gives an integrated measure similar to the acoustic output from a hydrophone. High speed photographic cinematography and, in particular, methods of high speed holographic cinematography are used and developed to capture the spatial dynamics of the three-dimensional bubble pattern, a filamentary structure resembling Lichtenberg figures. The series of three-dimensional images obtained via holography is digitized and analyzed via a transputer-based digital image processing system. First results show strong correlations among the behavior of individual bubbles and indicate a highly cooperative system. The method of high speed holographic cinematography developed together with a digital holographic image processing system will also be of use for the investigation of other complex space-time systems, for example, the Rayleigh-Bénard and Taylor-Couette systems, and is scheduled for fully three-dimensional turbulence studies.
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Twum, Stephen B., and Elaine Aspinwall. "Complex System Reliability Optimisation: A Multi-Criteria Approach." International Journal of Engineering Research in Africa 9 (May 2013): 13–21. http://dx.doi.org/10.4028/www.scientific.net/jera.9.13.

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The optimal allocation of reliability to the components of complex systems to maximise their reliability is posed as multi-criteria optimisation. The minimum cut-sets leading to series-parallel reduction of such systems were constituted into criteria and their reliability maximised while minimising cost of improving the systems reliability. Consequently, the system reliability expression is made redundant, which simplifies the problem. The resultant nonlinear optimisation model was solved by the Weighted Sum method for the Pareto optimal component reliability values. The model was applied to a life support system. The results show that higher components/ systems reliability can be achieved using the approach.
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Kolomietz, V. M., and S. V. Radionov. "Cranking approach for a complex quantum system." Journal of Mathematical Physics 51, no. 6 (June 2010): 062105. http://dx.doi.org/10.1063/1.3436579.

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Gama Dessavre, Dante, Jose E. Ramirez-Marquez, and Kash Barker. "Multidimensional approach to complex system resilience analysis." Reliability Engineering & System Safety 149 (May 2016): 34–43. http://dx.doi.org/10.1016/j.ress.2015.12.009.

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Dissertations / Theses on the topic "A complex system approach"

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Tran, Huy T. "A complex networks approach to designing resilient system-of-systems." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54384.

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This thesis develops a methodology for designing resilient system-of-systems (SoS) networks. This methodology includes a capability-based resilience assessment framework, used to quantify SoS resilience. A complex networks approach is used to generate potential SoS network designs, focusing on scale-free and random network topologies, degree-based and random rewiring adaptation, and targeted and random node removal threats. Statistical design methods, specifically response surface methodology, are used to evaluate SoS networks and provide an understanding of the advantages and disadvantages of potential designs. Linear regression is used to model a continuous representation of the network design space, and determine optimally resilient networks for particular threat types. The methodology is applied to an information exchange (IE) network model (i.e., a message passing network model) and military command and control (C2) model. Results show that optimally resilient IE network topologies are random for networks with adaptation, regardless of the threat type. However, the optimally resilient adaptation method sharply transitions from being fully random to fully degree-based as threat randomness increases. These findings suggest that intermediately defined networks should not be considered when designing for resilience. Cost-benefit analysis of C2 networks suggests that resilient C2 networks are more cost-effective than robust ones, as long as the cost of rewiring network links is less than three-fourths the cost of creating new links. This result identifies a threshold for which a resilient network design approach is more cost-effective than a robust one.This thesis develops a methodology for designing resilient system-of-systems (SoS) networks. This methodology includes a capability-based resilience assessment framework, used to quantify SoS resilience. A complex networks approach is used to generate potential SoS network designs, focusing on scale-free and random network topologies, degree-based and random rewiring adaptation, and targeted and random node removal threats. Statistical design methods, specifically response surface methodology, are used to evaluate SoS networks and provide an understanding of the advantages and disadvantages of potential designs. Linear regression is used to model a continuous representation of the network design space, and determine optimally resilient networks for particular threat types. The methodology is applied to an information exchange (IE) network model (i.e., a message passing network model) and military command and control (C2) model. Results show that optimally resilient IE network topologies are random for networks with adaptation, regardless of the threat type. However, the optimally resilient adaptation method sharply transitions from being fully random to fully degree-based as threat randomness increases. These findings suggest that intermediately defined networks should not be considered when designing for resilience. Cost-benefit analysis of C2 networks suggests that resilient C2 networks are more cost-effective than robust ones, as long as the cost of rewiring network links is less than three-fourths the cost of creating new links. This result identifies a threshold for which a resilient network design approach is more cost-effective than a robust one.
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Francis, John Charles. "Qualitative system theory : a systems approach to modelling complex physical processes." Thesis, Heriot-Watt University, 1986. http://hdl.handle.net/10399/1080.

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Funabashi, Masatoshi. "Dynamical System and Information Geometry : A Complementary Approach to Complex Systems." Palaiseau, Ecole polytechnique, 2010. http://pastel.archives-ouvertes.fr/docs/00/55/68/73/PDF/thesis.pdf.

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En français : Un des défis majeurs de la science de complexité se situe à l'investigation de l'émergence, où les interactions entre les composants microscopiques d'un système produisent la propriété globale, et réciproquement, la dynamique globale influence le bas niveau. Cette thèse a comme ambition de 1) élucider le mécanisme sous-jacent des systèmes complexes par la modélisation concrète des systèmes réels, et aussi 2) comparer entre les différents modèles proposés pour détecter la condition universelle de l'émergence. Pour cela, nous développons la nouvelle méthodologie basé sur l'interaction entre la théorie de système dynamique et la géométrie informationnelle, afin d'avoir la dialectique entre la modélisation constructive/déterministe et l'analyse des interactions sous la formalisation stochastique. La thèse se compose de 7 Parties, parmi lesquelles la Partie 2 à 6 correspondent au premier objectif, et la Partie 7 au seconde. Dans la Partie 1, nous allons réviser l'histoire de la science de la complexité et proposer la stratégie dialectique entre les méthodologies constructive et interactions-analytique, basé sur la théorie de système dynamique et la géométrie informationnelle. En Partie 2, nous traitons un modèle de réseau neuronal avec le comportement chaotique nommé ``l'itinérance chaotique" comme un candidat de la dynamique du cortex cérébral, et analysons l'effet de l'apprentissage autonome sans superviseur comme une source de créativité qui est la propriété émergente du système neuronal. La théorie de la mesure intérieure est étendue afin de interpréter l'émergence des nouveaux attracteurs par ``le chaos comme le catalyseur d'apprentissage. " En Partie 3, nous avons appliqué la dynamique du réseau neuronal chaotique aux robots qui manifestent la dynamique de recherche collective de manière émergente, au défi de la détection optimale des informations sporadiques. L'efficacité de la recherche collective est évaluée avec un simulateur virtuel. En Partie 4, nous développons les nouvelles mesures de la complexité du point de vue de la géométrie informationnelle, et analysons les données des réseaux sociaux. Les mesures de la complexité jouera un rôle principal dans la Partie 7. En Partie 5, nous appliquons la stratégie dialectique entre le système dynamique et la géométrie informationnelle vers la compréhension de la morphogenèse lors de l'embryogenèse chez le poisson zèbre. Quelques propositions théoriques sont établies et testées avec les données tentatives dérivées des projets européens Embryomics et BioEMERGENCES. En Partie 6, nous analysons les systèmes complexes liés au linguistique. Nous avons découvert les nouveaux invariants et la composition géométrique entre les voyelles japonaises, qui sont les propriétés émergentes au niveau du système. Nous développons aussi la modélisation écologique de l'environnement multilingue dans un contexte de la dialectique entre la théorie linguistique et la modélisation mathématique. En Partie 7, nous révisons les résultats obtenus dans les Parties précédentes sous une perspective comparative, en vue de détecter la structure universelle de l'émergence comme l'organisation des interactions qui ne dépende pas explicitement sur la propriété des composants. Surtout la comparaison entre les Parties 2 et 4, ainsi 5 et 6, nous indique la typologie et la stratégie de détection de la dynamique de l'émergence comme la relation et le contraint entre les foncteurs et méta-foncteurs. D'autre possibilité d'application de la stratégie établie est mise en discussion
En anglais : Recently emerging complex systems sciences tackle the systems where complex in- teractions between components lead to the manifestation of emergent property linking different levels of organization. This thesis aims to reveal the mechanism of emergent property in complex systems, both in concrete modeling as well as comparative analysis between different systems. We tackle various sub jects in complex systems science with newly proposed unified theoretical framework, based on the dialectic between dynam- ical system theory and information geometry. The thesis has therefore two levels of ob jectives: 1) Modeling and understanding of concrete complex systems with the use of constructive and interaction-analytical methodologies, and 2) comparison between different complex systems to characterize universal structure of emergence. The thesis consists of 7 Parts, in which Part 2 to 6 correspond to the first ob jective, and the Part 7 to the second one: In Part 1, we review the historical context of complex systems science and propose a dialectical strategy between the constructive and interaction-analytical methodology, based on the dynamical system theory and information geometry, respectively. In Part 2, we treat a candidate model of brain cortex dynamics known as “chaotic itinerancy”, and incorporate the effect of autonomous learning seeking for the creativity of intelligence as emergent property of neural system. The interpretation of emergence in terms of the internal measurement theory is extended to derive the concept of “chaotic itinerancy as catalyst of learning”. In Part 3, the dynamics of chaotic neural network is applied to emergent collective behavior of robots, so that to realize optimal intermittent search of sporadic informa- tion. The effectiveness of the collective infotaxis is analyzed on a simulator basis. In Part 4, we define novel complexity measures from information geometrical point of view and apply to the analysis of social network data. The established complexity measures play a key role in comparative analysis between different systems in Part 7. In Part 5, we apply the dialectical strategy between dynamical system and infor- mation geometry toward the understanding of morphogenesis during zebrafish embryo- genesis. Theoretical propositions are tested with tentative experimental data from two european pro jects, Embryomics and BioEMERGENCES. In Part 6, complex systems related to linguistics are investigated. We discovered novel invariants and geometrical relation between japanese vowels, as a system-level emergent property. Ecological modeling approach to multilingual environment is also proposed along the dialectical strategy between linguistic theory and mathematical modeling. In Part 7, we review the obtained results in previous Parts with comparative per- spective, seeking for a characterization of universal structure of emergence in terms of the organization of interactions that does not explicitly depend on the property of components. Comparison between Part 2 and 4, as well as 5 and 6, derived candi- date qualitative dynamics of emergence and its detection strategy as the dynamics and constraint between functors and meta-functors. Further possibility of the proposed strategy is discussed
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Devereaux, Jaime E. (Jaime Erin). "Obsolescence : a systems engineering and management approach for complex systems." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59233.

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Thesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 79-81).
Obsolescence mitigation is an increasingly important aspect of large systems development & maintenance that has often only been considered once obsolescence is imminent. For long lifecycle systems, this has become a major concern as the lifecycles of the components that are encompassed within these systems are often far shorter - up to ten times shorter - than the overall system lifecycle. Many defense systems can be characterized in this manner and therefore require obsolescence mitigation approaches to ensure the continuing ability for the system to perform and evolve. Current system-level obsolescence mitigation practices make recommendations for designing new systems to slow the onset of obsolescence and make the system more flexible when change for obsolescence is required. However, currently fielded systems were often not designed with this in mind. Other obsolescence mitigation techniques focus only on the approach to mitigating component-level obsolescence locally without examining the impact of the change on the system as a whole. This thesis combines the recommended approaches for obsolescence mitigation, the experience and lessons learned for obsolescence mitigation on a real-world case study system gained from interviews with key subject matter experts, along with systems engineering techniques for dealing with engineering change in systems to develop a robust systems engineering and management approach for obsolescence in large complex systems. The thesis provides the reader with a flow chart and a clustered DSM of the tasks along with a checklist that could be used with this obsolescence engineering and management approach.
by Jaime E. Devereaux.
S.M.in System Design and Management
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Leung, Chi-chung. "Modelling complex network dynamics a statistical physics approach /." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B38324611.

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Leung, Chi-chung, and 梁志聰. "Modelling complex network dynamics: a statistical physics approach." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B38324611.

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Lear, Matthew R. "A complex adaptive system approach to forecasting hurricane tracks." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Jun%5FLear%5FCS.pdf.

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Steyn, Jacques. "Language : a complex-systems approach." Doctoral thesis, University of Cape Town, 1994. http://hdl.handle.net/11427/19415.

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Mainstream twentieth-century linguistics, a segregational approach, cannot explain the most obvious characteristics of language. The reasons for this are investigated. It is concluded that linguistics suffers from an incoherent conceptual framework which is the result of influences from three major sources: 1. The desire to establish linguistics as a proper science which led to the acceptance of a mechanistic and positivistic view of science and a pre-quantum conception of matter. 2. The language myth: there are many notions about language and related issues which we have inherited from our ancestors and tacitly accepted without scrutiny. Contemporary ideas about language are biased by this inherited stock of 'knowledge'. 3. Saussure's theory of language, later adopted and adapted by Chomsky, in which the 'true object of linguistic investigation' is abstracted away from what we ordinarily view as language. Together these three sources resulted in a peculiar view of language which cannot explain the most obvious things about it. The proposed alternative view, an integrational approach, redefines language in the holistic terms of a complex-systems approach. Language is the outcome of the dynamic interaction between social and physiological systems -- particular attention is paid to consciousness. Neither language, society or culture is an 'object', but is created through the interaction between individuals in communicative situations. Language is not 'being', but results from 'becoming'. Meaning is not given in advance, but created in each event of communication. Meaning is not a static closed system, but an open system which is dynamically constructed from moment to moment. Concepts of mathematical topology (fractal geometry and catastrophe theory), non-linear, dynamic, open and complex systems, and of chaology are used as conceptual tools to break away from the stronghold our inherited view of language has on our contemporary thinking about it.
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McKellar, Robert W. (Robert William). "Staying nimble : a flexible approach to complex product development in a rigid environment." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100380.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 65-67).
Incorporating flexibility into business processes can provide organizations with increased agility to respond to uncertainty within complex product development projects spanning across many years and many organizations. Current methods used for determining value in order to justify associated costs for implementing and maintaining process flexibility are not sufficient in capturing the full worth of flexibilities within processes. A framework is developed which builds upon on prior research to assess value of flexibility within product development processes, combining benefits of rigid constraints with flexible options. Valuation of a simple potential flexibility within an aircraft development project is used to demonstrate the use of the framework in practice and to evaluate strengths and weaknesses of the framework. The method of valuation provides benefit of capturing hidden value that would otherwise be ignored or left on the table and provides further insight into the behavior of the process flexibility in a manner which leads to optimization of that flexibility. However, adoption of the framework is hindered by the skillset required in practice along with the inherent inability to demonstrate its full value, as measured by actual performance.
by Robert W. McKellar.
S.M. in Engineering and Management
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Sun, Yong. "Reliability prediction of complex repairable systems : an engineering approach." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16273/.

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This research has developed several models and methodologies with the aim of improving the accuracy and applicability of reliability predictions for complex repairable systems. A repairable system is usually defined as one that will be repaired to recover its functions after each failure. Physical assets such as machines, buildings, vehicles are often repairable. Optimal maintenance strategies require the prediction of the reliability of complex repairable systems accurately. Numerous models and methods have been developed for predicting system reliability. After an extensive literature review, several limitations in the existing research and needs for future research have been identified. These include the follows: the need for an effective method to predict the reliability of an asset with multiple preventive maintenance intervals during its entire life span; the need for considering interactions among failures of components in a system; and the need for an effective method for predicting reliability with sparse or zero failure data. In this research, the Split System Approach (SSA), an Analytical Model for Interactive Failures (AMIF), the Extended SSA (ESSA) and the Proportional Covariate Model (PCM), were developed by the candidate to meet the needs identified previously, in an effective manner. These new methodologies/models are expected to rectify the identified limitations of current models and significantly improve the accuracy of the reliability prediction of existing models for repairable systems. The characteristics of the reliability of a system will alter after regular preventive maintenance. This alternation makes prediction of the reliability of complex repairable systems difficult, especially when the prediction covers a number of imperfect preventive maintenance actions over multiple intervals during the asset's lifetime. The SSA uses a new concept to address this issue effectively and splits a system into repaired and unrepaired parts virtually. SSA has been used to analyse system reliability at the component level and to address different states of a repairable system after single or multiple preventive maintenance activities over multiple intervals. The results obtained from this investigation demonstrate that SSA has an excellent ability to support the making of optimal asset preventive maintenance decisions over its whole life. It is noted that SSA, like most existing models, is based on the assumption that failures are independent of each other. This assumption is often unrealistic in industrial circumstances and may lead to unacceptable prediction errors. To ensure the accuracy of reliability prediction, interactive failures were considered. The concept of interactive failure presented in this thesis is a new variant of the definition of failure. The candidate has made several original contributions such as introducing and defining related concepts and terminologies, developing a model to analyse interactive failures quantitatively and revealing that interactive failure can be either stable or unstable. The research results effectively assist in avoiding unstable interactive relationship in machinery during its design phase. This research on interactive failures pioneers a new area of reliability prediction and enables the estimation of failure probabilities more precisely. ESSA was developed through an integration of SSA and AMIF. ESSA is the first effective method to address the reliability prediction of systems with interactive failures and with multiple preventive maintenance actions over multiple intervals. It enhances the capability of SSA and AMIF. PCM was developed to further enhance the capability of the above methodologies/models. It addresses the issue of reliability prediction using both failure data and condition data. The philosophy and procedure of PCM are different from existing models such as the Proportional Hazard Model (PHM). PCM has been used successfully to investigate the hazard of gearboxes and truck engines. The candidate demonstrated that PCM had several unique features: 1) it automatically tracks the changing characteristics of the hazard of a system using symptom indicators; 2) it estimates the hazard of a system using symptom indicators without historical failure data; 3) it reduces the influence of fluctuations in condition monitoring data on hazard estimation. These newly developed methodologies/models have been verified using simulations, industrial case studies and laboratory experiments. The research outcomes of this research are expected to enrich the body of knowledge in reliability prediction through effectively addressing some limitations of existing models and exploring the area of interactive failures.
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Books on the topic "A complex system approach"

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Mensah, Priscilla, David Katerere, Sepo Hachigonta, and Andreas Roodt, eds. Systems Analysis Approach for Complex Global Challenges. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71486-8.

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Jiménez López, María Dolores, 1963-, ed. Language as a complex system: Interdisciplinary approaches. Newcastle upon Tyne: Cambridge Scholars, 2010.

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Thach, Nguyen, ed. Management of complex cardiovascular problems: The evidence-based medicine approach. 3rd ed. Malden, Mass: Blackwell Futura, 2007.

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Karer, Gorazd. Predictive Approaches to Control of Complex Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Hoffmann, Günther. Meeting deadlines in complex systems: A probabilistic approach. Berlin: Professoren des Inst. für Informatik, 2004.

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J, Ryan M., ed. Managing complex technical projects: A systems engineering approach. Boston: Artech House, 2003.

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Thach, Nguyen, ed. Management of complex cardiovascular problems: The consultant's approach. 2nd ed. Armonk, NY: Futura Pub. Co., 2002.

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Haken, Hermann. Interdisciplinary Approaches to Nonlinear Complex Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993.

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Sokolova, Marina V. Decision Making in Complex Systems: The DeciMaS Agent-based Interdisciplinary Framework Approach. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Information and self-organization: A macroscopic approach to complex systems. Berlin: Springer-Verlag, 1988.

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Book chapters on the topic "A complex system approach"

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Bouchired, Steven, and Stéphanie Lizy-Destrez. "System Engineering Approach Applied to Galileo System." In Complex Systems Design & Management, 219–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15654-0_16.

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Moser, Hubert Anton. "Research Approach." In Understanding Complex Systems, 59–97. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03895-7_3.

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Hafez, Wael. "Architecture Approach for Managing System Complexity Using System Dynamics." In Complex Systems Design & Management, 311. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26109-6_35.

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Georgescu, Alexandru, Adrian V. Gheorghe, Marius-Ioan Piso, and Polinpapilinho F. Katina. "CSI—A Complex System Governance Approach." In Critical Space Infrastructures, 281–320. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12604-9_12.

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Vidyasagar, M., and Rajeeva L. Karandikar. "System Identification: A Learning Theory Approach." In Control and Modeling of Complex Systems, 89–104. Boston, MA: Birkhäuser Boston, 2003. http://dx.doi.org/10.1007/978-1-4612-0023-9_6.

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Schwaninger, Markus. "System Dynamics in the Evolution of the Systems Approach." In Complex Systems in Finance and Econometrics, 753–66. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-7701-4_41.

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Tshangela, Mapula. "Introduction to Part I: The Role of System Dynamics, Systems Thinking and Systems Perspective." In Systems Analysis Approach for Complex Global Challenges, 3–7. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71486-8_1.

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Brankovic, Boris, Christoph Binder, Dieter Draxler, Christian Neureiter, and Goran Lastro. "Towards a Cross-Domain Modeling Approach in System-of-Systems Architectures." In Complex Systems Design & Management, 164–75. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34843-4_14.

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Gerla, Vaclav, Vladana Djordjevic, Lenka Lhotska, and Vladimir Krajca. "System Approach to Complex Signal Processing Task." In Computer Aided Systems Theory - EUROCAST 2009, 579–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04772-5_75.

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Cotsaftis, Michel. "What Makes a System Complex? - An Approach to Self Organization and Emergence." In Understanding Complex Systems, 49–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02199-2_3.

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Conference papers on the topic "A complex system approach"

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Vakili, Golnaz, and Siavash Khorsandi. "Engineering a peer to peer architecture: A complex adaptive system approach." In 2010 4th Annual IEEE Systems Conference. IEEE, 2010. http://dx.doi.org/10.1109/systems.2010.5482487.

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Sevink, G. J. A., J. G. E. M. Fraaije, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "Modelling Complex Systems in Full Detail: A New Approach." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897843.

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Leppard, Steve. "Diagrammatic approach to real options." In Disordered and complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1358200.

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Hughston, Lane P. "Martingale approach to real options." In Disordered and complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1358204.

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Xia, Xiaokai, Ji Wu, Chao Liu, and Luo Xu. "A Model-Driven Approach for Evaluating System of Systems." In 2013 18th International Conference on Engineering of Complex Computer Systems (ICECCS). IEEE, 2013. http://dx.doi.org/10.1109/iceccs.2013.18.

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Thurner, Stefan. "A dynamical thermostat approach to financial asset price dynamics." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386819.

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Tomiya, Mitsuyoshi. "Numerical approach to spectral properties of coupled quartic oscillators." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386841.

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Rachad, Sofia, Hicham Fouraiji, and Bahloul Bensassi. "Modeling a production system by parametric identification approach." In 2014 Second World Conference on Complex Systems (WCCS). IEEE, 2014. http://dx.doi.org/10.1109/icocs.2014.7060882.

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J., Hlunguane, Alcebíades E, Chatelet Eric, and Kouta Raed. "Dynamic Reliability Approach for a Complex Offshore System." In Proceedings of the 31st European Safety and Reliability Conference. Singapore: Research Publishing Services, 2021. http://dx.doi.org/10.3850/978-981-18-2016-8_306-cd.

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Uvarov, A. "Computer simulation and theoretical approach in the Brownian dynamics with rigid constraints." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386865.

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Reports on the topic "A complex system approach"

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Alexander, F., M. Anitescu, J. Bell, D. Brown, M. Ferris, M. Luskin, S. Mehrotra, et al. A Multifaceted Mathematical Approach for Complex Systems. Office of Scientific and Technical Information (OSTI), March 2012. http://dx.doi.org/10.2172/1093585.

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Ananth, Nandini. Quantum Dynamical Behaviour in Complex Systems - A Semiclassical Approach. Office of Scientific and Technical Information (OSTI), January 2008. http://dx.doi.org/10.2172/936732.

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Danesh, Mohammad H. A Pansophic Approach for Reliability Testing of Complex Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada337211.

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Brown, Nathanael J. K., Katherine A. Jones, Alisa Bandlow, Linda Karen Nozick, Lucas Waddell, Drew Levin, and Jonathan Whetzel. A Complex Systems Approach to More Resilient Multi-Layered Security Systems. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1431482.

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Colvin, Nathan M. A Complex Adaptive Systems Approach to the Future Operational Environment. Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada611766.

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Ye, Nong, and Ying-Cheng Lai. CIP: A Complex Adaptive System Approach to QoS Assurance and Stateful Resource Management for Dependable Information Infrastructure. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada473161.

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Koutsourelakis, P. Design of Complex Systems in the presence of Large Uncertainties: a statistical approach. Office of Scientific and Technical Information (OSTI), July 2007. http://dx.doi.org/10.2172/921760.

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McCormack, Jay. A Decomposition Based Approach to Optimal Layout of Complex Systems such as UAVs and Satellites. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada573709.

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Goldsby, Michael E., Jackson R. Mayo, Arnab Bhattacharyya, Robert C. Armstrong, and Keith Vanderveen. Mathematical approaches for complexity/predictivity trade-offs in complex system models : LDRD final report. Office of Scientific and Technical Information (OSTI), September 2008. http://dx.doi.org/10.2172/942063.

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Nechaev, V., Володимир Миколайович Соловйов, and A. Nagibas. Complex economic systems structural organization modelling. Politecnico di Torino, 2006. http://dx.doi.org/10.31812/0564/1118.

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Abstract:
One of the well-known results of the theory of management is the fact, that multi-stage hierarchical organization of management is unstable. Hence, the ideas expressed in a number of works by Don Tapscott on advantages of network organization of businesses over vertically integrated ones is clear. While studying the basic tendencies of business organization in the conditions of globalization, computerization and internetization of the society and the results of the financial activities of the well-known companies, the authors arrive at the conclusion, that such companies, as IBM, Boeing, Mercedes-Benz and some others companies have not been engaged in their traditional business for a long time. Their partner networks performs this function instead of them. The companies themselves perform the function of system integrators. The Tapscott’s idea finds its confirmation within the framework of a new powerful direction of the development of the modern interdisciplinary science – the theory of the complex networks (CN) [2]. CN-s are multifractal objects, the loss of multifractality being the indicator of the system transition from more complex state into more simple state. We tested the multifractal properties of the data using the wavelet transform modulus maxima approach in order to analyze scaling properties of our company. Comparative analysis of the singularity spectrumf(®), namely, the difference between maximum and minimum values of ® (∆ = ®max ¡ ®min) shows that IBM company is considerably more fractal in comparison with Apple Computer. Really, for it the value of ∆ is equal to 0.3, while for the vertically integrated company Apple it only makes 0.06 – 5 times less. The comparison of other companies shows that this dependence is of general character. Taking into consideration the fact that network organization of business has become dominant in the last 5-10 years, we carried out research for the selected companies in the earliest possible period of time which was determined by the availability of data in the Internet, or by historically later beginning of stock trade of computer companies. A singularity spectrum of the first group of companies turned out to be considerably narrower, or shifted toward the smaller values of ® in the pre-network period. The latter means that dynamic series were antipersistant. That is, these companies‘ management was rigidly controlled while the impact of market mechanisms was minimized. In the second group of companies if even the situation did changed it did not change for the better. In addition, we discuss applications to the construction of portfolios of stock that have a stable ratio of risk to return.
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