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Engler, Joseph John. "Innovation as a complex adaptive system." Thesis, University of Iowa, 2009. https://ir.uiowa.edu/etd/233.
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Innovation has long been considered crucial for companies to gain a competitive edge in the global marketplace. Unfortunately, a solid understanding of the system of innovation does not exist. The literature lacks formal definitions and methodologies for the system of innovation. Many surrogates for innovation metrics have been posited in past research but none have solidified the overall concept of an innovation system or science.
It has been speculated that innovation as a system is complex. Additionally, some researchers have suggested that this innovation system is adaptive. In these instances, of the literature, surrogates were again utilized in place of solid modeling and hypothesis that is benchmarked against real world case studies. Surrogates, such as patent citation, do serve a useful purpose to assist in the understanding of the historic nature of the innovation system but they fall short of defining the system completely.
This paper seeks to aid in the solidification of a hypothesis of the system of innovation as a complex adaptive system. Initial consideration is directed towards the historic interactions that have taken place in the system of innovation. These interactions are viewed through the surrogate of patent citation as there is little other record of innovation. The novelty of this paper is that patent citations form not the core but rather a starting point for the definition of innovation as a complex adaptive system.
Various models are built using techniques of cellular automata as well as agent-based modeling to assist in the understanding of the principles at work in the innovation system. These models present startling evidence that there exists an upper bound on the number of interactions any one invention should utilize in its course towards being deemed an innovation. Additionally, the models describe the benefits of partnership between innovating entities in a rapidly changing marketplace such as the current technological markets. This paper asserts specific conclusions, from the models, that assist in understanding that the system of innovation is truly a complex adaptive system. The models are further supported through real world examples.
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Lear, Matthew R. "Forecasting hurricane tracks using a complex adaptive system." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Jun%5FLear%5FMetoc.pdf.
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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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Wellbrink, Joerg C. G. "Modeling reduced human performance as a complex adaptive system." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FWellbrink%5FPhD.pdf.
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Nisula, Jari M. "A risk management framework for a complex adaptive transport system." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30041.
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La science a connu des avancées significatives en matière de gestion du risque au cours de la dernière décennie. Toutefois, les pratiques actuelles de gestion du risque dans le domaine industriel n'ont pas tiré tout le profit de ces développements. Le sujet de recherche de cette thèse peut être formulé ainsi : comment bâtir un cadre de gestion du risque afin de gérer les risques dans le transport, en adoptant les perspectives modernes du risque et les dernières connaissances de sécurité, tout en considérant le système de transport comme un système adaptatif complexe ? Ceci, à travers la perspective d'une agence nationale de la sécurité des transports, dont la responsabilité est la supervision de la sécurité de plusieurs modes de transport, incluant l'aérien, le maritime, le ferroviaire et le routier. La connaissance scientifique actuelle est passée en revue pour les sujets de risques et d'appréciation du risque, de sécurité et de gestion de la sécurité ainsi que les systèmes adaptatifs complexes. L'approche moderne du risque implique reconnaitre l'importance de l'incertitude et la solidité des connaissances dans l'analyse du risque ainsi que le rôle des imprévus. Le système de transport est identifié comme un système adaptatif complexe. De tels systèmes se caractérisent par un large volume d'interactions, de nombreuses boucles de rétroaction, des phénomènes non-linéaires, l'émergence, l'imprévisibilité et la contre-intuitivité. Sont étudiées les façons recommandées d'interagir avec les systèmes complexes afin de tenter de parvenir à un changement positif. Les concepts relatifs à la gestion de la sécurité sont également présentés et notamment le concept de résilience qui peut être interprété soit comme une élégante extensibilité des équipes ou des organisations, soit comme une adaptabilité continue. Les cadres existants de management du risque sont revus à la fois dans l'industrie et dans la littérature scientifique ainsi que la norme internationale ISO 31000. Basé sur l'état de l'art, un ensemble de critères pour un processus moderne de management du risque est développé. Le cadre proposé de gestion du risque dans le transport comprend des perspectives modernes du risque et considère le système de transport comme un système adaptatif complexe. Il permet de présenter les risques des différents modes de transport dans une visualisation globale de risque et de l'utiliser en tant que support pour prise de décision afin d'optimiser l'impact sur la sécurité avec les ressources qui sont toujours limitées. L'impact est encore renforcé par les moyens d'intervention tels que les stratégies adaptives et l'expérimentation, qui sont bien adaptés aux systèmes complexes. Elle est validée selon les critères élaborés et par comparaison avec les cadres existants. Le cadre proposé de gestion du risque ainsi que la thèse sont tous deux structurés d'après la norme ISO 31000. Enfin une étude de cas présente la mise en œuvre actuelle de cette nouvelle approche à l'Agence Nationale Finlandaise de la Sécurité des TransportsOver the last ten-fifteen years, science has made significant advances in fields relevant for risk management. However, current risk management practices in industry have not yet benefitted from these developments. The research question addressed in this dissertation is: What kind of risk management framework should be used for managing transport risks when the modern risk perspectives and the latest understanding of safety are embraced, and the transport system is considered a complex adaptive system? The focus of this research is on transport risks, taking the perspective of a national transport safety agency, tasked with overseeing safety across several modes of transport, including aviation, maritime, railway and road safety. The scientific literature on risk and risk assessment, safety and safety management, as well as complex adaptive systems are reviewed. The research illustrates that a modern risk perspective recognizes the importance of uncertainty and strength of knowledge in risk analysis, as well as the role of surprises. The transport system is identified as a complex adaptive system, characterized by a high number of interactions, emergence, multiple feedback loops, nonlinear phenomena, unpredictability and counter-intuitiveness. The recommended ways to interact with such complex systems and to try to achieve positive change are explained. Concepts related to safety management are also investigated, especially the concept of resilience, which is interpreted as graceful extensibility of teams or organizations, or as sustained adaptability. Evidence of existing risk management frameworks in both the industry and scientific literature is outlined and reference is made to the international ISO 31000 standard for risk management. Based on the literature review, a set of criteria for a modern risk management process is developed. A risk management framework for managing transport risks which embraces modern risk perspectives and accounts for the transport system as a complex adaptive system is proposed. It enables risks in all transport modes to be presented in a single risk picture and supports decision-making to maximize the safety impact achievable with limited resources. The impact is further enhanced by intervention strategies such as adaptive policies and experimentation, which are well-suited to complex systems. The framework is validated against the criteria developed, and by comparison to existing methods. A case study presents the on-going implementation of the developed risk management framework at the Finnish Transport Safety Agency. Both the proposed risk management framework and the dissertation are structured according to the ISO 31000 framework
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Bondorowicz, Stefan. "Adaptive control of complex dynamic systems." Thesis, University of Oxford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302787.
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Mukri, Farha. "Business-IT Traceability for Complex System Improvement." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250608349.
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Sullivan, John P. "Emergent Learning: Three Learning Communities as Complex Adaptive Systems." Thesis, Boston College, 2009. http://hdl.handle.net/2345/663.
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Thesis advisor: Patrick J. McQuillanIn the 2007-2008 school year, the author conducted a collaborative case study (Stake, 2000) with the goal of discovering and describing "emergent learning" in three high school classrooms. Emergent learning, defined as the acquisition of new knowledge by an entire group when no individual member of the group possessed it before, is implied by the work of many theorists working on an educational analog of a natural phenomenon called a complex adaptive system. Complex adaptive systems are well networked collectives of agents that are non-linear, bounded and synergistic. The author theorized that classes that maximized the features of complex adaptive systems could produce emergent learning (a form of synergy), and that there was a continuum of this complexity, producing a related continuum of emergence. After observing a co-curricular jazz group, an English class, and a geometry class for most of one academic year, collecting artifacts and interviewing three students and a teacher from each class, the author determined that there was indeed a continuum of complexity. He found that the actively complex nature of the Jazz Rock Ensemble produced an environment where emergence was the norm, with the ensemble producing works of music, new to the world, with each performance. The English section harnessed the chaotic tendencies of students to optimize cognitive dissonance and frequently produce emergent learning, while the mathematics section approached the learning process in a way that was too rigidly linear to allow detectable emergence to occur
Thesis (PhD) — Boston College, 2009
Submitted to: Boston College. Lynch School of Education
Discipline: Teacher Education, Special Education, Curriculum and Instruction
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Mains, Steven. "Optimizing combat capabilities by modeling combat as a complex adaptive system." W&M ScholarWorks, 2004. https://scholarworks.wm.edu/etd/1539623454.
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Procuring combat systems in the Department of Defense is a balancing act where many variables, only some under control of the department, shift simultaneously. Technology changes non-linearly, providing new opportunities and new challenges to the existing and potential force. Money available changes year over year to fit into the overall US Government budget. Numbers of employees change through political demands rather than by cost-effectiveness considerations. The intent is to provide the best mix of equipment to field the best force against an expected enemy while maintaining adequate capability against the unexpected. Confounding this desire is the inability of current simulations to dynamically model changing capabilities and the very large universe of potential combinations of equipment and tactics.;The problem can be characterized as a stochastic, mixed-integer, non-linear optimization problem. This dissertation proposes to combine an agent-based model developed to test solutions that constitute both equipment capabilities and tactics with a co-evolutionary genetic algorithm to search this hyper-dimensional solution space. In the process, the dissertation develops the theoretical underpinning for using agent-based simulations to model combat. It also provides the theoretical basis for improvement of search effectiveness by co-evolving multiple systems simultaneously, which increases exploitation of good schemata and widens exploration of new schemata. Further, it demonstrates the effectiveness of using agent-based models and co-evolution in this application confirming the theoretical results.;An open research issue is the value of increased information in a system. This dissertation uses the combination of an agent-based model with a co-evolutionary genetic algorithm to explore the value added by increasing information in a system. The result was an increased number of fit solutions, rather than an increase in the fitness of the best solutions. Formerly unfit solutions were improved by increasing the information available making them competitive with the most fit solutions whereas already fit solutions were not improved.
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Shenoy, Rajiv. "Overset adaptive strategies for complex rotating systems." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51796.
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The resolution of the complex physics of rotating configurations is critical for any engineering analysis that requires multiple frames of reference. Two well-known applications are in the rotorcraft and wind energy industries. Rotor wake impingement from rotor-fuselage and wind turbine-tower interactions impact structural and acoustic characteristics. Additionally, parasite drag resulting from rotorcraft hubs may result in severe limitations on forward flight vehicle performance. Complex turbulent wakes from rotors and hubs impinging on downstream empennage can create adverse aeroelastic behavior and can affect handling qualities. Numerical simulations of these flows require state-of-the-art Navier Stokes methods using dynamic overset grids. However, many current methods typically used in industry result in wakes that dissipate essential features. In order to address these concerns, two advancements are introduced in this thesis. Feature-based grid adaptation on dynamic overset grids has been developed and demonstrated with an unstructured Navier Stokes solver. The unique feature of the adaptation technique is that it is applied globally on the overset grid system except within the boundary layer. In concert with grid adaptation, an efficient parallelized search algorithm for solution interpolation over massively distributed systems has been created. This results in cost-effective interpolation that retains the numerical order of accuracy and has been verified in both space and time. The improvements have been demonstrated for rotor-fuselage interaction and a generic rotating hub. Detailed analysis of convergence of the methodology and sensitivity of the results to relevant parameters have also been included.
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Morris, Paul John. "Modelling peatlands as a complex adaptive systems." Thesis, Queen Mary, University of London, 2010. http://qmro.qmul.ac.uk/xmlui/handle/123456789/479.
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A new conceptual approach to modelling peatlands, DigiBog, involves a Complex Adaptive Systems consideration of raised bogs. A new computer hydrological model is presented, tested, and its capabilities in simulating hydrological behaviour in a real bog demonstrated. The hydrological model, while effective as a stand-alone modelling tool, provides a conceptual and algorithmic structure for ecohydrological models presented later. Using DigiBog architecture to build a cellular model of peatland patterning dynamics, various rulesets were experimented with to assess their effectiveness in predicting patterns. Contrary to findings by previous authors, the ponding model did not predict patterns under steady hydrological conditions. None of the rulesets presented offered an improvement over the existing nutrient-scarcity model. Sixteen shallow peat cores from a Swedish raised bog were analysed to investigate the relationship between cumulative peat decomposition and hydraulic conductivity, a relationship previously neglected in models of peatland patterning and peat accumulation. A multivariate analysis showed depth to be a stronger control on hydraulic conductivity than cumulative decomposition, reflecting the role of compression in closing pore spaces. The data proved to be largely unsuitable for parameterising models of peatland dynamics, due mainly to problems in core selection. However, the work showed that hydraulic conductivity could be expressed quantitatively as a function of other physical variables such as depth and cumulative decomposition. DigiBog architecture was used to build a simple, vertical, ecohydrological model of long-term peat accumulation. As model complexity was increased under a self-organisation approach, model predictions of peat accumulation rates and surface wetness changed dramatically, revealing the importance of feedbacks between peatland hydrological behaviour and peat physical properties. This work may have important implications for palaeoclimatic reconstructions which assume peatland surface wetness to be a reliable climatic indicator. The expansion of the model to include horizontal space altered model behaviour in quantitative and qualitative terms.
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Hammer, Roger Julius. "Strategy development process and complex adaptive systems." Thesis, Aston University, 2011. http://publications.aston.ac.uk/15812/.
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The two areas of theory upon which this research was based were 'strategy development process' (SDP) and 'complex adaptive systems' (CAS), as part of complexity theory, focused on human social organisations. The literature reviewed showed that there is a paucity of empirical work and theory in the overlap of the two areas, providing an opportunity for contributions to knowledge in each area of theory, and for practitioners. An inductive approach was adopted for this research, in an effort to discover new insights to the focus area of study. It was undertaken from within an interpretivist paradigm, and based on a novel conceptual framework. The organisationally intimate nature of the research topic, and the researcher's circumstances required a research design that was both in-depth and long term. The result was a single, exploratory, case study, which included use of data from 44 in-depth, semi-structured interviews, from 36 people, involving all the top management team members and significant other staff members; observations, rumour and grapevine (ORG) data; and archive data, over a 5½ year period (2005-2010). Findings confirm the validity of the conceptual framework, and that complex adaptive systems theory has potential to extend strategy development process theory. It has shown how and why the strategy process developed in the case study organisation by providing deeper insights to the behaviour of the people, their backgrounds, and interactions. Broad predictions of the 'latent strategy development' process and some elements of the strategy content are also possible. Based on this research, it is possible to extend the utility of the SDP model by including peoples' behavioural characteristics within the organisation, via complex adaptive systems theory. Further research is recommended to test limits of the application of the conceptual framework and improve its efficacy with more organisations across a variety of sectors.
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Guo, Donghang. "Large-Scale Simulations for Complex Adaptive Systems with Application to Biological Domains." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26403.
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Modeling or simulating Complex Adaptive Systems (CASs) is both important and challenging. As the name suggests, CASs are systems consisting of large numbers of interacting adaptive compartments. They are studied across a wide range of disciplines and have unique properties. They model such systems as multicellular organisms, ecosystems, social networks, and many more. They are complex, in the sense that they are dynamical, nonlinear, and heterogeneous systems that cannot be simply scaled up/down. However, they are self-organized, in the sense that they can evolve into specific structures/patterns without guidance from outside sources. Modeling/Simulating CASs is challenging, not only because of the high complexity, but also because of the difficulty in explaining the underlying mechanism behind self-organization.
The goal of this research is to provide a modeling framework as well as a simulation platform to advance the study of CASs. We argue that there are common principles behind self-organization processes of different systems across different domains. We explore, analyze, and perform experiments into these principles. We propose and implement modeling templates such as short-term and long-term adaptivity. We incorporate techniques from systems theory, employing computing paradigms, including multi-agent system and asynchronous message passing. We also consider an application from the biological domain to model and simulate under our framework, treating it as a CAS for validation purposes.Ph. D.
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Kennedy, Cameron. "Mass media and media complex adaptive systems, towards a complex methodology." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0002/MQ43352.pdf.
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Kennedy, Cameron (Cameron John) Carleton University Dissertation Journalism and Communication. "Mass media and media complex adaptive systems; towards a complex methodology." Ottawa, 1999.
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Tewari, Anurag. "Adaptive tension, self-organization and emergence : A complex system perspective of supply chain disruptions." Thesis, Cranfield University, 2017. http://dspace.lib.cranfield.ac.uk/handle/1826/12603.
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The purpose of this thesis was to explore how microstate human interactions produce macro level self-organization and emergence in a supply disruption scenario, as well as discover factors and typical human behaviour that bring about disruptions. This study argues that the complex adaptive system’s view of complexity is most suited scholarly foundation for this research enquiry. Drawing on the dissipative structure based explanation of emergence and self-organization in a complex adaptive system, this thesis further argues that an energy gradient between the ongoing and designed system conditions, known as adaptive tension, causes supply chains to self-organize and emerge.
This study adopts a critical realist ontology operationalized by a qualitative case research and grounded theory based analysis. The data was collected using repertory grid interviews of 22 supply chain executives from 21 firms. In all 167 cases of supply disruptions were investigated.
Findings illustrate that agent behaviours like loss of trust, over ambitious pursuit, use of power and privilege, conspiring against best practices and heedless performance were contributing to disruption. Impacted by these behaviours, supply chains demonstrated impaired disruption management capabilities and increased disruption probability. It was also discovered that some of these system patterns and microstate agent behaviours pushed the supply chains to a zone of emergent complexity where these networks self-organized and emerged into new structures or embraced changes in prevailing processes or goals. A conceptual model was developed to explain the transition from micro agent behaviour to system level self-organization and emergence. The model described alternate pathways of a supply chain under adaptive tension.
The research makes three primary research contributions. Firstly, based upon the theoretical model, this research presents a conceptualization of supply chain emergence and self-organization from dissipative structures and adaptive tension based view of complexity. Secondly, it formally introduces and validates the role of behavioural and cognitive element of human actions in a supply chain scenario. Lastly, it affirms the complex adaptive system based conceptualization of supply chain networks. These contributions succeed in providing organizations with an explanation for observed deviations in their operations performance using a behavioural aspect of human agents.
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Castagna, Michael J. "Transforming DoD into a complex adaptive system by means of the market." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA354943.
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Thesis (M.S. in Management) Naval Postgraduate School, Sept. 1998.Thesis advisor(s): James C. Emery, David R. Henderson. "September 1998." Includes bibliographical references (p. 59-63). Also available online.
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Pagani, Freda R. "Adaptive buildings through evolutionary design, towards more sustainable buildings. project design process as a complex adaptive system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ38952.pdf.
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Kingston, Kenneth Samuel. "Applications of complex adaptive systems approaches to coastal systems." Thesis, University of Plymouth, 2003. http://hdl.handle.net/10026.1/474.
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This thesis investigates the application of complex adaptive systems approaches (e.g. Artificial Neural Networks and Evolutionary Computation) to the study of coastal hydrodynamic and morphodynamic behaviour. Traditionally, nearshore morphological coastal system studies have developed an understanding of those physical processes occurring on both short temporal, and small spatial scales with a large degree of success. The associated approaches and concepts used to study the coastal system at these scales have primarily been linear in nature. However, when these approaches to studying the coastal system are extended to investigating larger temporal and spatial scales, which are commensurate with the aims of coastal management, results have had less success. The lack of success in developing an understanding of large scale coastal behaviour is to a large extent attributable to the complex behaviour associated with the coastal system. This complexity arises as a result of both the stochastic and chaotic nature of the coastal system. This allows small scale system understanding to be acquired but prevents the larger scale behaviour to be predicted effectively. This thesis presents four hydro-morphodynamic case studies to demonstrate the utility of complex adaptive system approaches for studying coastal systems. The first two demonstrate the application of Artificial Neural Networks, whilst the latter two illustrate the application of Evolutionary Computation. Case Study #1 considers the nature of the discrepancy between the observed location of wave breaking patterns over submerged sandbars and the actual sandbar locations. Artificial Neural Networks were able to quantitatively correct the observed locations to produce reliable estimates of the actual sand bar locations. Case Study #2 considers the development of an approach for the discrimination of shoreline location in video images for the production of intertidal maps of the nearshore region. In this case the system modelled by the Artificial Neural Network is the nature of the discrimination model carried out by the eye in delineating a shoreline feature between regions of sand and water. The Artificial Neural Network approach was shown to robustly recognise a range of shoreline features at a variety of beaches and hydrodynamic settings. Case Study #3 was the only purely hydrodynamic study considered in the thesis. It investigated the use of Evolutionary Computation to provide means of developing a parametric description of directional wave spectra in both reflective and nonreflective conditions. It is shown to provide a unifying approach which produces results which surpassed those achieved by traditional analysis approaches even though this may not strictly have been considered as a fiddly complex system. Case Study #4 is the most ambitious application and addresses the need for data reduction as a precursor when trying to study large scale morphodynamic data sets. It utilises Evolutionary Computation approaches to extract the significant morphodynamic variability evidenced in both directly and remotely sampled nearshore morphologies. Significant data reduction is achieved whilst reWning up to 90% of the original variability in the data sets. These case studies clearly demonstrate the ability of complex adaptive systems to be successfully applied to coastal system studies. This success has been shown to equal and sometimess surpass the results that may be obtained by traditional approaches. The strong performance of Complex Adaptive System approaches is closely linked to the level of complexity or non-linearity of the system being studied. Based on a qualitative evaluation, Evolutionary Computation was shown to demonstrate an advantage over Artificial Neural Networks in terms of the level of new insights which may be obtained. However, utility also needs to consider general ease of applicability and ease of implementation of the study approach. In this sense, Artificial Neural Networks demonstrate more utility for the study of coastal systems. The qualitative assessment approach used to evaluate the case studies in this thesis, may be used as a guide for choosing the appropriateness of either Artificial Neural Networks or Evolutionary Computation for future coastal system studies.
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Jefferies, Paul. "Emergent phenomena of complex adaptive systems : financial markets." Thesis, University of Oxford, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427625.
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Fonseca, Jose Manuel Lopes Da. "Innovation : a property of complex adaptive social systems." Thesis, University of Hertfordshire, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263031.
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Atkinson, Simon Reay. "Engineering design adaptation fitness in complex adaptive systems." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648674.
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Dougherty, Francis Laverne. "A Complex Adaptive Systems Analysis of Productive Efficiency." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/65146.
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Linkages between Complex Adaptive Systems (CAS) thinking and efficiency
analysis remain in their infancy. This research associates the basic building blocks
of the CAS 'flocking' metaphor with the essential building block concepts of Data
Envelopment Analysis (DEA). Within a proposed framework DEA"decisionmaking
units" (DMUs) are represented as agents in the agent-based modeling
(ABM) paradigm. Guided by simple rules, agent DMUs representing business units
of a larger management system, 'align' with one another to achieve mutual
protection/risk reduction and 'cohere' with the most efficient DMUs among them
to achieve the greatest possible efficiency in the least possible time. Analysis of the
resulting patterns of behavior can provide policy insights that are both evidencebased
and intuitive. This research introduces a consistent methodology that will be
called here the Complex Adaptive Productive Efficiency Method (CAPEM) and
employs it to bridge these domains. This research formalizes CAPEM
mathematically and graphically. It then conducts experimentation employing using
the resulting CAPEM simulation using data of a sample of electric power plants
obtained from Rungsuriyawiboon and Stefanou (2003). Guided by rules, individual
agent DMUs (power plants) representing business units of a larger management
system,'align' with one another to achieve mutual protection/risk reduction and
'cohere' with the most efficient DMUs among them to achieve the greatest possible
efficiency in the least possible time. Using a CAS ABM simulation, it is found that
the flocking rules (alignment, cohesion and separation), taken individually and in selected combinations, increased the mean technical efficiency of the power plant
population and conversely decreased the time to reach the frontier. It is found
however that these effects were limited to a smaller than expected sub-set of these
combinations of the flocking factors. Having been successful in finding even a
limited sub-set of flocking rules that increased efficiency was sufficient to support
the hypotheses and conclude that employing the flocking metaphor offers useful
options to decision-makers for increasing the efficiency of management systems.Ph. D.
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Singhal, Ankit. "An Effective Communication Framework For Inter-Agent Communication In a Complex Adaptive System With Application To Biology." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/35787.
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Multi-Agent Systems (MASs) and Partial and Ordinary Differential Equations (PDEs and ODEs respectively) have often been employed by researchers to effectively model and simulate Complex Adaptive Systems (CASs). PDEs and ODEs are reduction based approaches which view the system globally and ignore any local interactions and processes. MASs are considered by many to be a better tool to model CASs, but have issues as well. Case in point, there is concern that present day MASs fail to capture the true essence of inter-cellular communication in a CAS. In this work we present a realistic and utilizable communication framework for inter-agent communication for a CAS simulation. We model the dynamic properties of the communication signals and show that our model is a realistic model for inter-cellular communication. We validate our system by modeling and simulating pattern formation in Dictyostelium discoideum, a unicellular organism.Master of Science
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Sommerer, Christa. "Modeling complex adaptive systems and complexity for interactive art." Thesis, University of South Wales, 2002. https://pure.southwales.ac.uk/en/studentthesis/modeling-complex-adaptive-systems-and-complexity-for-interactive-art(3d7143e3-eb05-49b9-8965-0ffa53767eb9).html.
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Complex System Sciences, as a field of research, has emerged in the past decade. It studies how parts of a system give rise to the collective behaviours of the system and how the system interacts with its environment. It approaches the question of how life on earth could have appeared by searching for inherent structures in living systems and trying to define common patterns within these structures. Complex Systems are also often described as systems where the whole is more complex than the mere sum of its parts, and these systems are also considered to be at the point of maximum computational ability, maximum fitness and maximum evolvability. Several scientific models have simulated Complex Adaptive Systems. These try to model the emergence of complexity within computer-simulated environments inhabited by artificially evolving organisms. My objective in this thesis is to study the application of Complex Systems and Complex Adaptive Systems to Interactive Art and to test how one could construct interactive systems that can create dynamic and open-ended image structures that increase in complexity as users interact with them. Ideally, these interactive artworks should become comparable to Complex Adaptive Systems or even become Complex Systems themselves by satisfying some of the key properties of such systems.
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Brosi, Dennis. "Examining Emergent Strategy Approaches With Complex Adaptive Systems Principles." St. Gallen, 2009. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/03604899101/$FILE/03604899101.pdf.
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Choe, Sehyo Charley. "Models of complex adaptive systems with underlying network structure." Thesis, University of Oxford, 2007. https://ora.ox.ac.uk/objects/uuid:1cb8cb96-d27f-4543-9065-0e38a4297435.
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This thesis explores the effect of different types of underlying network structure on the dynamical behaviour of a competitive population - a situation encountered in many real-world complex systems. In the first part of the thesis, I focus on generic, but abstract, multi-agent systems. I start by presenting analytic and numerical results for a population of heterogeneous, decision-making agents competing for some limited global resource, in which connections arise unintentionally between agents as a by-product of their strategy choices. I show that accounting for the resulting groups of strongly-correlated agents - in particular, the crowds and so-called 'anticrowds' - yields an accurate analytic description of the systems dynamics. I then introduce a local communication network between the agents, enabling them to intentionally share information among themselves. Such an interaction network leads to highly non-trivial dynamics, forcing a trade-off between individual and global success. Introducing corruption into the information being exchanged between agents, gives rise to a novel phase transition. I then provide a quantitative analytic theory of these various numerical results by generalizing the Crowd-Anticrowd formalism to include such local interactions. In the second part of the thesis, I consider a real-world system which also features competitive populations and networks - a cancer tumour, which contains cancerous cells competing for space and nutrients in the presence of an underlying vasculature structure. To simplify the analysis and comparison to real clinical data, the model chosen is far simpler than that discussed in the first part of the thesis - however despite its simplicity, the model is shown to yield remarkably good agreement with empirical findings. In addition, the model shows how different treatment methods can lead to a wide variety of unexpected re-growth behaviours of the tumour.
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Laine, Tei. "Agent-based model selection framework for complex adaptive systems." [Bloomington, Ind.] : Indiana University, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3229580.
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Thesis (Ph.D.)--Indiana University, Computer Science and Cognitive Science, 2006."Title from dissertation home page (viewed July 10, 2007)." Source: Dissertation Abstracts International, Volume: 67-08, Section: B, page: 4523. Adviser: Filippo Menczer.
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Chow, Fung-kiu, and 鄒鳳嬌. "Modeling the minority-seeking behavior in complex adaptive systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29367487.
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Ram, Kadambari. "A Complex Systems Simulation Study for Increasing Adaptive-Capacity." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4477.
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Examination of empirical research confirmed that climate change is a complex problem of anthropological origin and revealed the need for a management framework to facilitate strategic decisions aimed at mitigating a rise in global temperatures of 2-°C linked to irresponsible and unsustainable business practices. The purpose of this simulation study was to develop a management framework of resilience, robustness, sustainability, and adaptive-capacity (RRSA) for organizations viewed as complex systems to address the current unsustainable state. As such, the evolutionary-RRSA prisoner's dilemma (PD) simulation was developed using an evolutionary game theory approach to agent based modeling and simulation, to generate data. Regression analyses tested the relationships between organizational resilience (x1), robustness (x2), and sustainability (x3) as independent variables, and the dependent variable of adaptive capacity (y) for cooperative and defective strategies. The findings were that complex nonlinear relationships exist between resilience, robustness, sustainability, and adaptive-capacity, which is sensitive to initial conditions and may emerge and evolve from combinations of cooperative and defective decisions within the evolutionary RRSA PD management tool. This study resulted in the RRSA management framework, a cyclical 4-phased approach, which may be used by climate governance leaders, negotiators, and policy-makers to facilitate strategy to move global climate change policy forward by guiding bottom-up consumption and production of GHGs, thereby improving adaptive-capacity, while mitigating an increase in global temperatures of 2-°C, which in turn would improve global socio-economic conditions.
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George, David Frederick James. "Reconfigurable cellular automata computing for complex systems on the SPACE machine /." Connect to this title, 2005. http://theses.library.uwa.edu.au/adt-WU2006.0020.
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Aguadé, Gorgorió Guim 1991. "Cancer as a complex adaptive system : Mathematical models of tumor ecology, evolution and development." Doctoral thesis, TDX (Tesis Doctorals en Xarxa), 2021. http://hdl.handle.net/10803/672400.
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Despite decades of scientific effort, cancer remains a major cause of death worldwide. Through the accumulation of genome alterations, tumor populations evolve the capacity to circumvent the selective barriers of tissue homeostasis, eventually adapting to resist therapeutic stress. Furthermore, extensive Darwinian evolution is accompanied by an ecological engineering of the surrounding tissue micro-environment together with the alteration of cellular maturation hierarchies. To understand cancer complexity, therefore, we need a picture that spans through the domains of ecology, evolution and development. In an effort to gain understanding of the underlying patterns of treatment resistance, the present PhD thesis introduces a mathematical approach to cancer complexity that takes into account its dynamical nature across these three axes. The resulting modeling endeavor is focused on two major fields of current research: immunotherapy and cancer epigenetics and differentiation, with the aim of providing both treatment design rationale and a comprehensive perspective that merges cancer ecological, evolutionary and developmental complexity.Malgrat dècades d’esforços científics, el càncer continua sent una de les principals causes de mort arreu del món. Mitjançant l’acumulació d’alteracions del genoma, les poblacions tumorals evolucionen la capacitat d’eludir les barreres selectives de l’homeòstasi del teixit, fins al punt d’adaptar-se per resistir l’estrès terapèutic. A més, l’extensa evolució darwiniana s’acompanya d’una enginyeria ecològica del teixit circumdant, juntament amb l’alteració de les jerarquies de maduració cel·lular. Per entendre la complexitat del càncer, per tant, necessitem una imatge que abasti els dominis de l’ecologia, l’evolució i el desenvolupament. En un esforç per comprendre els patrons subjacents de resistència al tractament, al llarg d’aquesta tesi doctoral introduı̈m un enfocament matemàtic de la complexitat del càncer que té en compte la seva naturalesa dinàmica en els tres eixos. L’esforç de modelització resultant se centra en dos grans camps de la investigació actual: la immunoteràpia i l’epigenètica i la diferenciació del càncer, amb l’objectiu d’oferir tant un fonament pel disseny terapèutic com una perspectiva integral que combini la complexitat ecològica, evolutiva i del desenvolupament del càncer.
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Russell, Carol Faculty of Engineering UNSW. "E-learning adoption in a campus university as a complex adaptive system: mapping lecturer strategies." Awarded by:University of Leicester, 2008. http://handle.unsw.edu.au/1959.4/39597.
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The adoption of e-learning technologies in campus universities has not realised its potential for meeting the learning needs and expectations of 21st century students. By modelling university learning and teaching as a complex adaptive system, this thesis develops a new way of understanding and managing the adoption of new learning technologies in campus universities. The literature on learning and teaching in higher education indicates that lecturers??? ability to innovate in their teaching is constrained by tacit and discipline-specific educational knowledge. Introducing new methods and technologies into mainstream university teaching requires explicit review of educational knowledge, and requires support from departmental and institutional organizational systems. Research on organizational change in other contexts, such as manufacturing industry, has used complex adaptive systems modelling to understand the systemic interdependence of individual strategies, organizations and technologies. These models suggest that the integration of new e-learning technologies into mainstream campus university teaching will involve corresponding change processes. Part of this change requires the linking up of diverse disciplinary perspectives on learning and teaching. The thesis develops a conceptual framework for researching university learning and teaching as a complex adaptive system that includes learning technologies, people, and their organization within a university. Complex adaptive systems theory suggests that the capacity of a campus university to adapt to new e-learning technologies will be reflected in patterns in the strategies of those lecturers who are early adopters of those technologies. A context-specific study in the University of New South Wales used cognitive mapping to represent and analyse the strategies of a group of 19 early adopters of e-learning technology. These early adopters were participants in a cross-discipline Fellowship programme intended to develop their ability to act as change agents within the university. Analysis of the maps gathered before and after the Fellowship, triangulated with data on the Fellows??? participation in organizational change, leads to a new way of modelling how university learning and teaching systems, including their technologies, adapt within a complex and changing higher education context.
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Eriksson, Viktoria. "Den offentliga sektorns komplexa adaptiva system : En kvalitativ studie om medarbetarpolicys i praktiken." Thesis, Högskolan Dalarna, Personal och arbetsliv, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:du-23025.
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Intresset för hur HR och ledning kan påverka medarbetarnas beteendemönster och den sociala strukturen inom organisationer har gett upphov till denna undersökning. Med utgångspunkt i teorier om komplexa adaptiva system som perspektiv har jag försökt fånga medarbetarnas förutsättningar att nå organisationers vision och därmed förverkliga medarbetarpolicyn i praktiken. Tillsammans med kontaktpersoner från den undersökta kommunen har jag gjort en djupdykning i en offentlig organisation i syfte att förklara byråkratins inverkan på beteendemönstret hos medarbetarna och hur de tillsammans skapar en social struktur vilken speglar organisationens vision. Syftet med studien är att undersöka hur det adaptiva systemet fungerar i en byråkratisk organisation och vad det betyder för medarbetarnas möjligheter att förverkliga organisationens vision och medarbetarpolicy. Undersökningen har genomförts på en socialförvaltning i en kommun i mellan Sverige och med en kvalitativ metod och semistrukturerade intervjuer har sex respondenter deltagit i undersökningen. Samtliga respondenter har olika befattningar inom organisationen och bidrar därmed med olika perspektiv på samma fenomen. Undersökningens resultat visar att den offentliga verksamhetens byråkratiska organisationsstruktur bidrar till att det bildas olika adaptiva system inom organisationen, där medarbetarnas beteendemönster bildar en social struktur som leder till att visionen och medarbetarpolicyn inte förverkligas. Undersökningen visar även att de adaptiva systemen inom organisationen inte påverkar varandra, då de inte interagerar med varandra inom organisationen. Det som ligger till grund för hur medarbetarnas beteendemönster etableras inom organisationen är kraven från omvärlden, hög arbetsbelastning och avsaknaden av stabilitet i den organisatoriska och sociala arbetsmiljön och inte vad tidigare forskning visat; att det skulle vara hög regelstyrning som ligger till grund för beteendemönstret inom den offentliga sektorn. Slutsatsen är att för att medarbetarna ska kunna förverkliga organisationens vision och medarbetarpolicy kräver det att HR, ledning och medarbetare alla ingår i samma adaptiva system. För att det ska vara möjligt behöver HR upprätta strategier för hur samtliga inom organisationen ska interagera med varandra i det dagliga arbetet. Ledningen och medarbetarna behöver även ha goda möjligheter att kommunicera med varandra regelbundet i en större omfattning än vad de gör idag. Konkreta åtgärder för hur det lämpligen bör genomföras presenteras under diskussionen.The significance of how Human Resources, HR, and management can cooperatively effect the behavioural pattern of co-workers and the social structure within organizations originated this study. With the perspective of complex adaptive systems as the starting point, the purpose has been to establish the requirements for co-workers to implement the organizations’ vison and policies in practice. In cooperation with the contacts of the studied municipality, I made an in-depth study within a public organization to explain the bureaucracy's effect on the behaviour pattern of the co-workers and how they together create a social strucutre reflecting the organization's vision. The purpose with the study is to examine how the complex adaptive systems functions within a bureaucratic organization and its effect on co-workers’ possibilities to implement the vision and policy of the organization. The study was made within a social welfare service in a municipality in Middle Sweden, using a qualitative method and semi structured interviews six respondents have participated, all with different positions in the organization contributing to several perspective of the same phenomena. The results of the study points to the public sector’s bureaucratic organization structure conduces’ of the creating different adaptive systems within the organization where co-workers’ behaviour pattern create a social structure which leads to failure of implementing the vision and policy. The study also presents that the adaptive systems within the organization does not affect each other as they do not interact with each other in the organization. The basis of how co-workers’ behaviour pattern establishes within the organization is the demands from the surrounding world, high workload, and of the lack of stability in the organizational and social working environment and not as the previous research have showed; that high ruling would underlie to behavioural pattern within the public sector. In conclusion, for co-workers to implement the vision and policy of the organization it requires for HR, management and co-workers all are in the same adaptive systems. To make that possible HR needs to form strategies on how all within the organization will interact with each other in daily work. Management and co-workers also needs great possibilities to communicate with each other regularly to an increasing extent. Concrete proceedings for how this should be done most suitably is presented in the discussion.
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McQuesten, Pamela Ann. "Human action in mass communication : a complex adaptive systems approach /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.
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CERBONI, BAIARDI LORENZO. "Adaptive models of learning in complex physical and social systems." Doctoral thesis, Urbino, 2016. http://hdl.handle.net/11576/2630552.
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Sopow, Eli. "Leadership at the edge of chaos, physicians, anxiety, and a complex adaptive health care system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0001/MQ59482.pdf.
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Russell, Carol. "E-learning adoption in a campus university as a complex adaptive system : mapping lecturer strategies." Thesis, University of Leicester, 2008. http://hdl.handle.net/2381/4373.
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The adoption of e-learning technologies in campus universities has not realised its potential for meeting the learning needs and expectations of 21st century students. By modelling university learning and teaching as a complex adaptive system, this thesis develops a new way of understanding and managing the adoption of new learning technologies in campus universities. The literature on learning and teaching in higher education indicates that lecturers’ ability to innovate in their teaching is constrained by tacit and discipline-specific educational knowledge. Introducing new methods and technologies into mainstream university teaching requires explicit review of educational knowledge, and requires support from departmental and institutional organizational systems. Research on organizational change in other contexts, such as manufacturing industry, has used complex adaptive systems modelling to understand the systemic interdependence of individual strategies, organizations and technologies. These models suggest that the integration of new e-learning technologies into mainstream campus university teaching will involve corresponding change processes. Part of this change requires the linking up of diverse disciplinary perspectives on learning and teaching. The thesis develops a conceptual framework for researching university learning and teaching as a complex adaptive system that includes learning technologies, people, and their organization within a university. Complex adaptive systems theory suggests that the capacity of a campus university to adapt to new e-learning technologies will be reflected in patterns in the strategies of those lecturers who are early adopters of those technologies. A context-specific study in the University of New South Wales used cognitive mapping to represent and analyse the strategies of a group of 19 early adopters of e-learning technology. These early adopters were participants in a cross-discipline Fellowship programme intended to develop their ability to act as change agents within the university. Analysis of the maps gathered before and after the Fellowship, triangulated with data on the Fellows’ participation in organizational change, leads to a new way of modelling how university learning and teaching systems, including their technologies, adapt within a complex and changing higher education context.
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Ghazzawi, Andrea E. "Navigating the Stroke Rehabilitation System: A Family Caregiver's Perspective." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23600.
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Introduction/ Objectives: Stroke, the third leading cause of death in Canada, is projected to rise in the next 20 years as the population ages and obesity rates increase. Family caregivers fulfill pertinent roles in providing support for family members who have survived a stroke, from onset to re-integration into the community. However, the transition from rehabilitation to home is a crucial transition for both the stroke survivor and family caregiver. As the stroke survivor transitions home from a rehabilitation facility, family caregivers provide different types of support, including assistance with navigating the stroke rehabilitation system. They also are a constant source of support for the stroke survivor providing them with continuity during the transition. In this exploratory study we examined family caregivers’ perceptions and experiences navigating the stroke rehabilitation system. The theories of continuity care and complex adaptive systems were used to examine the transition home from hospital or stroke rehabilitation facility, and in some cases back to hospital. Methodology: Family caregivers (n=14) who provide care for a stroke survivor were recruited 4-12 weeks following the patient’s discharge from a stroke rehabilitation facility. Interviews were conducted with family caregivers to examine their perceptions and experiences navigating the stroke rehabilitation system. Directed content analysis was used to explore the perceptions of family caregivers as they reflected on the transitions home. The theories of continuity of care and complex adaptive systems were used to interpret their experiences. Results/Conclusions: During the transition home from a rehabilitation facility, family caregivers are a constant source of support, providing the stroke survivor with continuity. Emergent themes highlight the importance of the caregiving role, and barriers and facilitators that impact the role, and influence continuity of care. Also, supports and services in the community were limited or did not meet the specific needs of the family caregiver. The acknowledgment of the unique attributes of each case will ensure supports and services are tailored to the family caregiver’s needs. Mitigation of systemic barriers would also decrease complexity experienced at the micro-level in the stroke rehabilitation system, and better support the family caregiver during the transition home from a stroke rehabilitation facility.
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Prasad, Kumkum. "Organisations as complex adaptive systems : implications for the design of information systems." Thesis, Open University, 1998. http://oro.open.ac.uk/57909/.
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Today a paradigm shift in the field of organisation and management theories is no longer disputed and the need to switch from the Command-and-Control to the Leaming Organisation Paradigm (LOP) in the area of organisational theory is well understood. However, it is less well appreciated that learning organisations cannot operate effectively if supported by centralised databases and tailor-made application programs. LOP emphasises adaptability, flexibility, participation and learning. It is important to understand that the changes in organisational and management strategies will not on their own be able to produce the desired effects unless they are supported by appropriate changes in organisational culture, and by effective information systems. This research demonstrates that conventional information system strategies and development methods are no longer adequate. Information system strategies must respond to these needs of the LOP and incorporate new information systems that are capable of evolving, adapting and responding to the constantly changing business environment. The desired adaptability, flexibility and agility in information systems for LOP can be achieved by exploiting the technologies of the Internet, World Wide Web, intelligent agents and intranets. This research establishes that there is a need for synergy between organisational structures and organisational information systems. To obtain this desired synergy it is essential that new information systems be designed as an integral part of the learning organisational structure itself. Complexity theory provides a new set of metaphors and a host of concepts for the understanding of organisations as complex adaptive systems. This research introduces the principles of Complex Adaptive Systems and draws on their significance for designing the information systems needed to support the new generation of learning organisations. The search for new models of information system strategies for today's dynamic world of business points to the 'swarm models' observed in Nature.
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Yoder-Bontrager, Daryl. "Nongovernmental organizations in disaster and coordination| A complex adaptive systems view." Thesis, University of Delaware, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1585187.
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Nongovernmental organizations (NGOs) play a major role in disasters around the world. As they carry out disaster work NGOs are often grouped together as the "NGO sector," although their varied size, scope, focus and country of origin make generalizations difficult. Coordinating NGO disaster work has been an ongoing challenge for governments and for NGOs themselves for reasons ranging from the wishes of NGO funders to uncertainty about what coordination means to competition for funds.
This thesis uses a complex adaptive system (CAS) framework to understand how NGOs may coordinate their own work. A complex adaptive system is made up of a set of independent agents that interact with each other to form a whole entity without the benefit of an explicit central control mechanism.
The qualitative study carried out semi-structured interviews with 16 NGOs active in disaster in Honduras to explore to what extent their interactions conformed to six characteristics of complex adaptive systems - 1) schemata; 2) self-organization; 3) communication and information; 4) rules; 5) learning and adaptation; and 6) aggregate outcomes, and relations with government.
Results of the interviews showed that many NGOs have multiple links among themselves with active communication channels that depend heavily on personal relationships. Interviews showed that collaboration among NGOs has increased over the past decade, although the degree of cooperation among them was inconsistent. Interviewees found it difficult to name an aggregate system-wide outcome. Government relations were found to be mixed - many NGOs had both positive and negative things to say about their relationships with government.
The NGOs were found to have both characteristics of a CAS and factors that did not fit a CAS description. NGOs must continually invest energy to maintain a system because entropic forces away from increased organization remain strong.
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Ho, Ki-hiu, and 何其曉. "Extracting real market behavior in complex adaptive systems through minority game." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B30163705.
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Dickens, Peter Martin. "Facilitating Emergence: Complex, Adaptive Systems Theory and the Shape of Change." Antioch University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=antioch1339016565.
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Chaoui, Hicham. "Soft-computing based intelligent adaptive control design of complex dynamic systems." Thèse, Université du Québec à Trois-Rivières, 2011. http://depot-e.uqtr.ca/2676/1/030295752.pdf.
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Onik, Mohammad Fakhrul Alam. "Business value of information technology: A complex adaptive systems theory view." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/132323/1/Mohammad%20Fakhrul%20Alam_Onik_Thesis.pdf.
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This thesis explores a dynamic perspective on the business value of IT (BVIT) in contemporary organisations. Using two theoretical concepts from Complex Adaptive Systems theory, emergence and coevolution, it presents a conceptual BVIT framework explaining how IT-enabled capabilities emerge from IT assets in contemporary organisations and how the coevolution of these capabilities can help organisations obtain competitive advantage. The emergence perspective demonstrates how IT-enabled capabilities arise via bottom-up interactions between the components of IT assets and organisational resources. The coevolution perspective includes micro coevolution, which emphasises how these capabilities improve within organisations, and macro coevolution, which highlights action-based competitive relationships among firms and how they vie for advantage.
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George, David Frederick James. "Reconfigurable cellular automata computing for complex systems on the SPACE machine." University of Western Australia. School of Computer Science and Software Engineering, 2006. http://theses.library.uwa.edu.au/adt-WU2006.0020.
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Many complex natural and man made systems are inherently concurrent in nature, consisting of many autonomous parts that interact with each other. Cellular automata allow the concurrency and interactions of these complex systems to be modelled. Using a reconfigurable a computing platform for running cellular automata models allows the natural concurrency of digital electronics to be directly exploited by the system being modelled. This thesis investigates methods and philosophies for developing cellular automata models on a reconfigurable computing platform, the SPACE machine. Modelling and verification techniques are developed using a process algebra, Circal. These techniques allow the desired behaviour of a system to be specified and simulated. The model is then translated into a digital design, which can be verified as correct against the behavioural model using the Circal system. Three cellular automata system are used to develop the methods and philosophies. The Game of Life is used to investigate how to model and implement CA on the SPACE machine. The Philosophies and techniques that are developed for the Game of Life are used in the following systems. More complex cellular automata models of road traffic are used to further develop the modelling techniques developed in the Game a Life. A user interface, which was created for viewing the outputs from the Game a Life, is extended to allow cellular automata cells to be dynamically placed and moved about on the computing surface, allowing the user to observe and modify experiment in real time. A cellular automata based cryptography system is then used to further enhance the techniques developed, and particularly to explore the area of producing dynamically reconfigured circuits as the inputs to the system change. The thesis concludes that there are many real life complex systems, such as road traffic simulation and cryptography, which require high performs systems to run on. The methods and philosophies developed in this thesis allow CA systems to be modelled using process algebra and run directly in digital hardware, allowing the natural concurrency of the hardware to be fully exploited.
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Leduc, Nathaniel. "Understanding Collaboration in the Context of Loosely- and Tightly-Coupled Complex Adaptive Systems." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37087.
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Many of the technological and social systems our society has come to depend on can be classified as complex adaptive systems (CAS). These systems are made of many individual parts that self-organize to respond and adapt to changing outside and inside influences affecting the system and its actors. These CAS can be placed on a spectrum ranging from loosely- to tightly-coupled, depending on the degree of interrelatedness and interdependence between system components. This research has explored how the process of collaboration occurs in both a loosely- and tightly-coupled setting using one exemplar of each system. The loosely-coupled exemplar related to disaster risk reduction in two Canadian communities while the tightly-coupled one involved the implementation of a surgical information management system in a Canadian hospital. A list of core elements of collaboration that should be considered essential to the success of all collaborative endeavours was developed as a result: Engagement, Communication, Leadership, Role Clarity, Awareness, Time, and Technical Skills and Knowledge. Based on observing how the core elements of collaboration interacted with one another within each of these example systems, two models were created to represent their relationships. A list of considerations that collaborative tool designers should consider was also developed and the implications of these considerations were discussed. As businesses and other organizations increasingly incorporate team-based work models, they will come to depend more heavily on technology-based solutions to support collaboration. By incorporating collaborative technologies that properly support the activity of these teams—based on the specific type of complex adaptive system in which their organization exists—organizations can avoid wasting time and resources developing tools that hinder collaboration.
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Lindkvist, Emilie. "Learning-by-modeling : Novel Computational Approaches for Exploring the Dynamics of Learning and Self-governance in Social-ecological Systems." Doctoral thesis, Stockholms universitet, Stockholm Resilience Centre, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-122395.
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As a consequence of global environmental change, sustainable management and governance of natural resources face critical challenges, such as dealing with non-linear dynamics, increased resource variability, and uncertainty. This thesis seeks to address some of these challenges by using simulation models. The first line of research focuses on the use of learning-by-doing (LBD) for managing a renewable resource, exemplified by a fish stock, and explores LBD in a theoretical model using artificial intelligence (Paper I and II). The second line of research focuses on the emergence of different forms of self-governance and their interrelation with the dynamics of trust among fishers when harvesting a shared resource, using an agent-based model. This model is informed by qualitative data based on small-scale fisheries in Mexico (Paper III and IV). Paper I and II find that the most sustainable harvesting strategy requires that the actor values current and future yields equally, cautiously experiments around what is perceived as the best harvest action, and rapidly updates its ‘mental model’ to any perceived change in catch. More specifically, Paper II reveals that understanding these aspects in relation to the type of change can yield not only increased performance, but also, and more importantly, increased robustness to both fast and slow changes in resource dynamics. However, when resource dynamics include the possibility of a more fundamental shift in system characteristics (a regime shift), LBD is problematic due to the potential for crossing a threshold, resulting in possible persistent reductions in harvests (Paper I). In Paper III, results indicate that cooperative forms of self-governance are more likely to establish and persist in communities where fishers’ have prior cooperative experience, fishers’ trustworthiness is more or less equal, and that this likelihood increases when resource availability fluctuates seasonally. Finally, to achieve a transformation toward more cooperative forms of self-governance, interventions are required that can strengthen both financial capital and trust among the members of the cooperatives (Paper IV). The unique contribution of this thesis lies in the method for ‘quantitatively’ studying LBD, the stylized model of a small-scale fishery, and the analysis of the two models to advance our understanding of processes of learning and self-governance in uncertain and variable social-ecological environments. Together, the results shed light on how social and ecological factors and processes co-evolve to shape social-ecological outcomes, as well as contributing to the development of novel methods within the emerging field of sustainability science.I vårt antropocena tidevarv är ett långsiktigt förvaltarskap av naturresurser inom social-ekologiska system av yttersta vikt. Detta kräver en djup förståelse av människan, ekologin, interaktionerna sinsemellan och deras utveckling över tid. Syftet med denna avhandling är att nå en djupare och mer nyanserad förståelse kring två av grundpelarna inom forskningen av hållbar förvaltning av naturresurser–kontinuerligt lärande genom learning-by-doing (LBD) för att förstå naturresursens dynamik, samt vad som kan kallas socialt kapital, i detta sammanhang i betydelsen tillit mellan individer, som naturligtvis ligger till grund för framgångsrik gemensam förvaltning. Denna föresats operationaliseras genom att använda två olika simuleringsmodeller. Den ena modellen undersöker hur en hållbar förvaltning av en förnyelsebar resurs, i denna avhandling exemplifierad av en fiskepopulation, kan uppnås genom LBD. Den andra modellen söker blottlägga det komplexa sociala samspel som krävs för att praktisera gemensam förvaltning genom att använda ett fiskesamhälle som fallstudie. Tidigare forskning på båda dessa två områden är relativt omfattade. Emellertid har den forskning som specialiserat sig på LBD i huvudsak inskränkt sig till empiriska fallstudier. Vad som bryter ny mark i denna avhandling är att vi konstruerar en simuleringsmodell av LBD där vi kan studera lärandeprocessen i detalj för att uppnå en mer hållbar förvaltning över tid. Beträffande modellen som behandlar socialt kapital så har tidigare forskning fokuserat på hur en organisation, eller grupp, kan uppnå hållbar förvaltning. Dock saknas ett helhetsgrepp där som tar hänsyn till alla nivåer; från individnivå (mikro), via gruppnivå (meso), till samhällsnivå (makro). Detta är något som denna avhandling försöker avhjälpa genom att undersöka betydelsen av individers egenskaper, uppbyggnaden av socialt kapital, samt hur detta påverkar emergens av ett samhälle dominerat av mer kooperativa förvaltningsformer respektive mer hierarkiska diton. I papper I and II studeras kärnan av LBD som återkoppling mellan en aktör och en resurs, där aktören lär sig genom upprepade interaktioner med en resurs. Resultaten visar att LBD är av avgörande betydelse för en hållbar förvaltning, speciellt då naturresursens dynamik är stadd i förändring. I den mest hållbara strategin bör aktören värdera nuvarande och framtida fångster lika högt, försiktigt experimentera kring vad aktören upplever som bästa strategi, för att sedan anpassa sin mentala modell till upplevda förändringar i fångst relativt dess insats någorlunda kraftigt. I papper III och IV behandlas uppbyggnaden av förtroende mellan individer och grupp, samt själv-organiserat styre. Genom att använda småskaligt fiske i Mexiko som en illustrativ fallstudie, utvecklades en agent-baserad modell av ett arketypiskt småskaligt fiskesamhälle. Resultaten indikerar att kooperativa förvaltningsformer är mer dominanta i samhällen där de som utför fisket har liknande pålitlighet, starkt gemensamt socialt kapital vid kooperativets start, och då resursen fluktuerar säsongsmässigt (papper III). Papper IV visar att för att uppnå en transformation från hierarkiska förvaltningsformer till kooperativa diton krävs interventioner som inriktar sig på både socialt och finansiellt kapital. Denna avhandling bidrar således till en djupare förståelse kring hur socialt kapital växer fram, samt hur mer strategiska LBD processer bör utformas när abrupta och osäkra förändringar i ekosystemen blir allt vanligare på grund av människans ökade tryck på planeten.
At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 2: Submitted. Paper 3: Submitted. Paper 4: Manuscript.
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Yeo, Narelle Fiona. "“THE INFALLIBLE PROTAGONIST” A STUDY OF COMPLEXITY THEORY AND REHEARSAL DYNAMICS IN MONODRAMA." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/16418.
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Monodrama is a work for a sole protagonist, utilising both sung and spoken vocalism over a cathartic narrative. Developed as a subgenre of opera relatively recently, monodrama emerged in the era of Freudian psychology. Monodrama aims to convince the audience of the authority and infallibility of the protagonist’s point of view. An operatic monodrama rehearsal is a unique sociological dynamic, one that functions as a complex adaptive process with director, conductor and performer as principal agents. The effective functioning of this dynamic causes beneficial coherence, measurable by successful performance outcomes (Snowden, 2012). An interesting phenomenon is observed in monodrama rehearsals, divergent from traditionally hierarchical rehearsal dynamics found in opera. The singer has increased agency in rehearsal, effectively transforming the dynamic from a negotiation between stage director and conductor, as occurs in opera, into a collaboration of equal yet distinct roles. Director, conductor and performer form a triumvirate of mutual respect, exhibiting porous boundaries of roles and responsibilities (or linkages). Monodrama rehearsals comprise a series of “safe to fail” experiments, repeating acceptable patterns with mutual agreement of three principal participants (or nodes), and creating unique norms leading to successful performance. The relative agency of each participant in a rehearsal, changing notions of authorship, and the success of this complex collaboration are discussed in detail, showing the possibilities for adaptive rehearsal structures in a traditionally conservative art-form. Primary research is conducted through participation as director and singer in three monodrama production rehearsal periods: “Pierrot Lunaire” by Arnold Schoenberg, “The Seven Deadly Sins” by Kurt Weill, and “The Pomegranate Cycle” by Eve Klein. Industry professionals’ perceptions of the dynamics in monodrama and opera rehearsals are also studied through semi-structured interviews and surveys with thirteen subjects (N=13), four directors (D=4), four conductors (C=4) and five singers (P=5), considering self-reported “successful” performance in opera and monodrama. Both the performance practice research and qualitative research herein supports the hypothesis that a monodrama rehearsal is a collaborative triumvirate functioning as a complex adaptive system, contrasting with the power structures and dynamics commonly observed in opera rehearsals.
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Fath, Janet Louise. "An architecture for adaptive computer-assisted instruction programs for complex dynamic systems." Diss., Georgia Institute of Technology, 1987. http://hdl.handle.net/1853/33442.
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