Relevant bibliographies by topics / Complex adaptive systems (CAS)

Academic literature on the topic 'Complex adaptive systems (CAS)'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Complex adaptive systems (CAS)"

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Naudé, Marita. "Sustainable development and complex adaptive systems." Corporate Ownership and Control 10, no. 1 (2012): 535–46. http://dx.doi.org/10.22495/cocv10i1c5art5.

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The aim and contribution of this paper at a theoretical level is to discuss CAS and the principles thereof as an alternative to traditional management models as an option to enhance SD in an integrated and holistic manner. At a practical level, the author discusses management and leadership suggestions to implement the principles of CAS to enhance SD. A CAS approach is not static and allows for and encourages emergence as a result to the changing internal and external environments. As CAS is a process that allows for constant change and adaptation it could be compatible in the organization’s SD challenge that is also constantly changing and adapting in response to the internal and external environments. Translating an integrated, holistic and CAS approach might require some cognitive, structural and political changes in the thinking about and understanding of how to deal with SD
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Coetzee, Christo, Dewald Van Niekerk, and Emmanuel Raju. "Disaster resilience and complex adaptive systems theory." Disaster Prevention and Management 25, no. 2 (April 4, 2016): 196–211. http://dx.doi.org/10.1108/dpm-07-2015-0153.

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Purpose – The purpose of this paper is to explore the emergence of resilience into the contemporary discourse of disaster risk. As a counter position to the current status quo in defining and addressing resilience, this paper introduces the theoretical lens of complex adaptive systems theory (CAS). Some of the key characterisitcs related to CAS are discussed and linkages are made to possible benefit that they might have in enhancing the understanding of disaster resilience. Design/methodology/approach – An indepth review of literature pertaining to disaster resilience and CAS was conducted to find common grounds for theoretical synergies. Findings – The inherent similarities between the concept of resilience and CAS provides ample practical and theoretical contributions to the field of disaster risk studies. Originality/value – The paper provides a different perspective to the contemporary discourse on disaster resilience. A better understanding of disaster resilience and its underlying dynamics as illuminated by the application of CAS could in future provide an effective tool to manage disaster risks and building of resilience.
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Man Joe Ma, Andrew, and Bramwell Osula. "The Tao of complex adaptive systems (CAS)." Chinese Management Studies 5, no. 1 (April 5, 2011): 94–110. http://dx.doi.org/10.1108/17506141111118480.

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Srinivasan, Badri N., and Debarshi Mukherjee. "Agile teams as complex adaptive systems (CAS)." International Journal of Information Technology 10, no. 3 (March 13, 2018): 367–78. http://dx.doi.org/10.1007/s41870-018-0122-3.

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Eidelson, Roy J. "Complex Adaptive Systems in the Behavioral and Social Sciences." Review of General Psychology 1, no. 1 (March 1997): 42–71. http://dx.doi.org/10.1037/1089-2680.1.1.42.

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This article examines applications of complexity theory within the behavioral and social sciences. Specific attention is given to the fundamental characteristics of complex adaptive systems (CAS)—such as individuals, groups, and societies—including the underlying structure of CAS, the internal dynamics of evolving CAS, and how CAS respond to their environment. Examples drawn from psychology, sociology, economics, and political science include attitude formation, majority–minority relations, social networks, family systems, psychotherapy, norm formation, organizational development, coalition formation, economic instabilities, urban development, the electoral process, political transitions, international relations, social movements, drug policy, and criminal behavior. The discussion also addresses the obstacles to implementing the CAS perspective in the behavioral and social sciences and implications for research methodology.
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Ramos-Villagrasa, Pedro J., Pedro Marques-Quinteiro, José Navarro, and Ramón Rico. "Teams as Complex Adaptive Systems: Reviewing 17 Years of Research." Small Group Research 49, no. 2 (July 13, 2017): 135–76. http://dx.doi.org/10.1177/1046496417713849.

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At the turn of the century, Arrow, McGrath, and Berdahl portrayed teams as complex adaptive systems (CAS). And yet, despite broad agreement that this approach facilitates a better understanding of teams, it has only now been timidly incorporated into team research. To help fully incorporate the logic of teams as CAS in the science of teams, we review extant research on teams approached from a nonlinear dynamical system theory. Using a systematic review approach, we selected 92 articles published over the last 17 years to integrate what we know about teams as CAS. Our review reveals the evidence supporting teams as CAS, and the set of analytical techniques to analyze team data from this perspective. This review contributes to teams’ theory and practice by offering ways to identify both research methods and managing techniques that scholars and practitioners may apply to study and manage teams as CAS.
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Naude, Marita. "Enhancing sustainable development through implementing complex adaptive systems and reflection: A proposed framework." Corporate Ownership and Control 10, no. 3 (2013): 25–38. http://dx.doi.org/10.22495/cocv10i3art3.

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Most organizations regard Sustainable Development (SD) as important and within a tridimensional approach (including economic, social and environmental dimensions) SD comprises a range of complex issues. However, traditional management approaches do not capture the variabilities as organizations are complex adaptive systems embedded in a complex adaptive context. Consequently, there must be a fundamental shift towards a complexity theory approach (eg. Complex Adaptive Systems, CAS). When SD is viewed from a CAS approach it becomes a continuous process of co-evolution within a rapidly changing context rather than a once off project. Leaders, managers and practitioners work in this complex and rapidly shifting world need crucial skills such as reflection. This paper proposes a framework combining SD, CAS and reflection. Although a framework does not guarantee success it provides a tool to identify SD, CAS and reflection dimensions, develop an integrated approach, create goals, monitor and evaluate outcomes. Lastly, the paper includes management and research implications.
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Statsenko, Larissa, Alex Gorod, and Vernon Ireland. "A complex adaptive systems governance framework for regional supply networks." Supply Chain Management: An International Journal 23, no. 4 (June 11, 2018): 293–312. http://dx.doi.org/10.1108/scm-08-2017-0279.

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PurposeThis paper aims to propose an empirically grounded governance framework based on complex adaptive systems (CAS) principles to facilitate formation of well-connected regional supply chains that foster economic development, adaptability and resilience of mining regions.Design/methodology/approachThis study is an exploratory case study of the South Australian (SA) mining industry that includes 38 semi-structured interviews with the key stakeholders and structural analysis of the regional supply network (RSN).FindingsFindings demonstrate the applicability of the CAS framework as a structured approach to the governance of the mining industry regional supply chains. In particular, the findings exemplify the relationship between RSN governance, its structure and interconnectivity and their combined impact on the adaptability and resilience of mining regions.Research limitations/implicationsThe data set analysed in the current study is static. Longitudinal data would permit a deeper insight into the evolution of the RSN structure and connectivity. The validity of the proposed framework could be further strengthened by being applied to other industrial domains and geographical contexts.Practical/implicationsThe proposed framework offers a novel insight for regional policy-makers striving to create an environment that facilitates the formation of well-integrated regional supply chains in mining regions through more focussed policy and strategies.Originality/valueThe proposed framework is one of the first attempts to offer a holistic structured approach to governance of the regional supply chains based on CAS principles. With the current transformative changes in the global mining industry, policy-makers and supply chain practitioners have an urgent need to embrace CAS and network paradigms to remain competitive in the twenty-first century.
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Curşeu, Petru Lucian. "Emergent States in Virtual Teams: A Complex Adaptive Systems Perspective." Journal of Information Technology 21, no. 4 (December 2006): 249–61. http://dx.doi.org/10.1057/palgrave.jit.2000077.

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Research on virtual teams (VTs) has proliferated in the last decades. However, few clear and consistent theoretical attempts to integrate the literature on VTs in a systemic way have emerged. This paper uses the complex adaptive systems (CAS) perspective to integrate the literature on emergent states in VTs. According to this general framework, VT effectiveness depends on the interaction between three levels of dynamics: local, global and contextual. Team cognition, trust, cohesion and conflict are described as states that emerge from the interactions among the VT members and as parts of global dynamics, they impact on VT effectiveness, and in the same time they are influenced by the outcomes of the VT. The insights on this bidirectional causality as well as other benefits of using the CAS framework to improve our understanding of VTs are discussed in the paper. It also provides an overview of artificial simulation models as well as simulation results concerning the emergence of the four states described in the CAS framework and discusses several ways to improve the accuracy of the simulation models using empirical data collected in real VTs.
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Markose, Sheri M. "Computability and Evolutionary Complexity: Markets as Complex Adaptive Systems (CAS)." Economic Journal 115, no. 504 (June 1, 2005): F159—F192. http://dx.doi.org/10.1111/j.1468-0297.2005.01000.x.

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Dissertations / Theses on the topic "Complex adaptive systems (CAS)"

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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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Fredericks, Jeanne. "Towards an understanding of the boundaries and characteristics of a Digital Business Strategy." Doctoral thesis, Faculty of Commerce, 2021. http://hdl.handle.net/11427/32673.

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The merging of business and information technology (IT) strategies, effectively becoming a Digital Business Strategy (DBS), is changing the way that organisations have to leverage resources to create differential value. Due to the DBS being such a novice idea, there is no clear understanding of what the DBS is, what its characteristics and boundaries are, how it impacts alignment between business and IT, and how it impacts organisational performance. Without this understanding, organisations leveraging a DBS run the risk of launching technological initiatives or making organisational changes that are disjointed from their strategic direction. These misaligned efforts may result in unrealised strategy and unsatisfactory organisational performance. The purpose of this study was to define the boundaries and characteristics of the DBS, provide a definition of a DBS and to establish if the DBS has a positive effect on organisational performance. To examine the DBS, it was observed in its natural habitat, through a single case study approach, focusing on an organisation that has been leveraging a DBS as part of their digital journey. The organisation is a South African based financial services provider and is a subsidiary of a larger financial services provider. In this study, the DBS was observed from an intellectual, operational, social and cultural alignment perspective, using a combination of the Strategic Alignment Model (SAM) and the Complex Adaptive System (CAS) frameworks. This study subscribed to a mixed-method approach which included both qualitative and quantitative research techniques. Staff providing input into this study included senior, middle, junior and non-management employees. The study was conducted over a period of thirteen months. The findings from both the qualitative and quantitative data suggest that to leverage a DBS the organisation must be concerned with more than just leveraging digital resources. For instance, organisations must focus on customer and staff empowerment, use customer and industry-related information to create opportunistic and competitive decision-making opportunities, and create a change-ready culture where bold experimentation and failing forward is embraced. Researchers and practitioners alike can use the findings of this case study as lessons on how to leverage organisational resources in the context of the DBS.
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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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Yang, Ang Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "A networked multi-agent combat model : emergence explained." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Information Technology and Electrical Engineering, 2007. http://handle.unsw.edu.au/1959.4/38823.

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Simulation has been used to model combat for a long time. Recently, it has been accepted that combat is a complex adaptive system (CAS). Multi-agent systems (MAS) are also considered as a powerful modelling and development environment to simulate combat. Agent-based distillations (ABD) - proposed by the US Marine Corp - are a type of MAS used mainly by the military for exploring large scenario spaces. ABDs that facilitated the analysis and understanding of combat include: ISAAC, EINSTein, MANA, CROCADILE and BactoWars. With new concepts such as networked forces, previous ABDs can implicitly simulate a networked force. However, the architectures of these systems limit the potential advantages gained from the use of networks. In this thesis, a novel network centric multi-agent architecture (NCMAA) is pro-posed, based purely on network theory and CAS. In NCMAA, each relationship and interaction is modelled as a network, with the entities or agents as the nodes. NCMAA offers the following advantages: 1. An explicit model of interactions/relationships: it facilitates the analysis of the role of interactions/relationships in simulations; 2. A mechanism to capture the interaction or influence between networks; 3. A formal real-time reasoning framework at the network level in ABDs: it interprets the emergent behaviours online. For a long time, it has been believed that it is hard in CAS to reason about emerging phenomena. In this thesis, I show that despite being almost impossible to reason about the behaviour of the system by looking at the components alone because of high nonlinearity, it is possible to reason about emerging phenomena by looking at the network level. This is undertaken through analysing network dynamics, where I provide an English-like reasoning log to explain the simulation. Two implementations of a new land-combat system called the Warfare Intelligent System for Dynamic Optimization of Missions (WISDOM) are presented. WISDOM-I is built based on the same principles as those in existing ABDs while WISDOM-II is built based on NCMAA. The unique features of WISDOM-II include: 1. A real-time network analysis toolbox: it captures patterns while interaction is evolving during the simulation; 2. Flexible C3 (command, control and communication) models; I 3. Integration of tactics with strategies: the tactical decisions are guided by the strategic planning; 4. A model of recovery: it allows users to study the role of recovery capability and resources; 5. Real-time visualization of all possible information: it allows users to intervene during the simulation to steer it differently in human-in-the-loop simulations. A comparison between the fitness landscapes of WISDOM-I and II reveals similarities and differences, which emphasise the importance and role of the networked architecture and the addition of strategic planning. Lastly but not least, WISDOM-II is used in an experiment with two setups, with and without strategic planning in different urban terrains. When the strategic planning was removed, conclusions were similar to traditional ABDs but were very different when the system ran with strategic planning. As such, I show that results obtained from traditional ABDs - where rational group planning is not considered - can be misleading. Finally, the thesis tests and demonstrates the role of communication in urban ter-rains. As future warfighting concepts tend to focus on asymmetric warfare in urban environments, it was vital to test the role of networked forces in these environments. I demonstrate that there is a phase transition in a number of situations where highly dense urban terrains may lead to similar outcomes as open terrains, while medium to light dense urban terrains have different dynamics
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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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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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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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Books on the topic "Complex adaptive systems (CAS)"

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Putera, Prakoso Bhairawa. Studi complex adaptive system (CAS) proses pembentukan klaster industri pendukung sistem inovasi di Indonesia. Jakarta: LIPI Press, 2011.

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Carmichael, Ted, Andrew J. Collins, and Mirsad Hadžikadić, eds. Complex Adaptive Systems. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20309-2.

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Ang, Yang, and Shan Yin, eds. Intelligent complex adaptive systems. Hershey: IGI Pub., 2008.

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Gros, Claudius. Complex and Adaptive Dynamical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36586-7.

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Gros, Claudius. Complex and Adaptive Dynamical Systems. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16265-2.

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Gros, Claudius. Complex and Adaptive Dynamical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04706-0.

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Gros, Claudius. Complex and Adaptive Dynamical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-71874-1.

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Ang, Yang, and Shan Yin, eds. Applications of complex adaptive systems. Hershey, PA: IGI Pub., 2008.

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Mitleton-Kelly, Eve. Complex adaptive systems in an organisational context: Organisations as co-evolving complex adaptive systems. Coventry: ESRC Business Processes Resource Centre, 1998.

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Mitleton-Kelly, Eve. @Organisations as co-evolving complex adaptive systems. Coventry: Business Processes Resource Centre, 1998.

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Book chapters on the topic "Complex adaptive systems (CAS)"

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Shute, Rosalyn H., and Phillip T. Slee. "Towards Complex Adaptive Systems (CAS)." In School Bullying and Marginalisation, 229–49. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7676-5_14.

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Sapir, Jonathan. "Complex Adaptive Systems (CAS) Theory." In Thriving at the Edge of Chaos, 49–74. Boca Raton : Taylor & Francis, 2020.: Productivity Press, 2019. http://dx.doi.org/10.4324/9780429356582-5.

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Fidanboy, Mahsa. "Application of CAS Perspective in Organizations." In Organizations and Complex Adaptive Systems, 44–50. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003182764-4.

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Adler, Richard M., and David J. Koehn. "CALM: Complex Adaptive System (CAS)-Based Decision Support for Enabling Organizational Change." In Unifying Themes in Complex Systems VII, 2–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-18003-3_1.

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van Ginneken, Jaap. "Public Opinion as a Complex Adaptive System (CAS)." In Climate, Chaos and Collective Behaviour, 3–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15237-5_1.

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Charalampaki, Effie. "A Fresh Outlook on Order-Disorder Transition: The Complex Adaptive Systems (CAS) Perspective." In World Order Transition and the Atlantic Area, 67–120. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63038-6_4.

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Hammer, Graeme, Charlie Messina, Erik van Oosterom, Scott Chapman, Vijaya Singh, Andrew Borrell, David Jordan, and Mark Cooper. "Molecular Breeding for Complex Adaptive Traits: How Integrating Crop Ecophysiology and Modelling Can Enhance Efficiency." In Crop Systems Biology, 147–62. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-20562-5_7.

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Pérez-Blanco, C. D. "Navigating Deep Uncertainty in Complex Human–Water Systems." In Springer Climate, 169–78. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86211-4_20.

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AbstractComplex human–water systems are deeply uncertain. Policymakers are not aware of all possible futures (deep uncertainty type 2), while the probability of those futures that can be identified ex-ante is typically unknown (deep uncertainty type 1). In this context, standard decision-making based on a complete probabilistic description of future conditions and optimization of expected performance is no longer appropriate; instead, priority should be given to robustness, through the identification of policies that are (i) insensitive to foreseeable changes in future conditions (classical robustness that addresses deep uncertainty type 1) and (ii) adaptive to unforeseen contingencies (adaptive robustness that addresses deep uncertainty type 2). This research surveys recent advances in (socio-)hydrology and (institutional) economics toward robust decision-making. Despite significant progress, integration among disciplines remains weak and allows only for a fractioned understanding and partial representation of uncertainty. To bridge this gap, I will argue that science needs to further underpin the development and integration of two pieces of ex-ante information: (1) a modeling hierarchy of human–water systems to assess policy performance under alternative scenarios and model settings, so as to navigate deep uncertainty type 1 and (2) a longitudinal accounting and analysis of public transaction costs to navigate deep uncertainty type 2.
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Centeno, Miguel, Peter Callahan, Paul Larcey, and Thayer Patterson. "Globalization as Adaptive Complexity: Learning from Failure." In Perspectives on Public Policy in Societal-Environmental Crises, 59–74. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94137-6_6.

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AbstractOur modern global civilization has been facilitated by increasingly technologically-advanced, interconnected, and interdependent systems. These systems have been constructed at an ever-increasing scale and level of complexity without an awareness of the risky mechanisms inherent in their design. At first glance, one may find few similarities between our modern globalized present and ancient civilizations. When we see past civilizations as complex adaptive systems, however, we can begin to recognize patterns, structures, and dynamics that have remained consistent through the centuries. Mechanisms like tipping points, feedback loops, contagions, cascades, synchronous failures, and cycles that can be responsible for systemic collapse are fundamental characteristics of any complex adaptive system, and can therefore serve as an effective common denominator from which to examine collapses through the ages. We argue for an analytical framework that incorporates these systemic characteristics for the study of historical collapse with the belief that these common mechanisms will help illuminate and expose relevant vulnerabilities in historical systems. In the end, we hope to learn from past societies and civilizations and allow our modern systems to benefit from lessons of systemic failures that historians may share with us. We believe these insights could inform how we see our systemic vulnerabilities and help to build a more resilient future.
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Kühn, Johannes Maximilian, Oliver Bringmann, and Wolfgang Rosenstiel. "Increasing Reliability Using Adaptive Cross-Layer Techniques in DRPs: Just-Safe-Enough Responses to Reliability Threats." In Dependable Embedded Systems, 121–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52017-5_5.

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AbstractThe developments in the semiconductor industry as predicted by institutions such as the ITRS present a difficult question to hardware and software developers alike: How to implement increasingly complex, power hungry, and critical applications reliably in today’s and tomorrow’s semiconductor technology? The present trend of semiconductor technology is characterized by a sharp increase in complexity, cost, and delicacy. Also, it does not scale along the demands which are still based on and often exceed Moore’s Law. In this chapter, we propose to exploit the architectural redundancies provided by potent, yet energy efficient massively parallel architectures, modeled using Dynamically Reconfigurable Processors (DRP). Using DRPs, we built an extensive cross-layer approach, offering different levels of reliability measures to operating system (OS) and software developers through low-cost hardware redundancy schemes and appropriate physical operating condition tuning. On the hardware side, online testing schemes and error detection are deployed to trigger dynamic remapping to avoid the usage of faulty components. This approach is further complemented through hardware health monitoring that can detect reliability issues such as negative bias temperature instability (NBTI) or hot carrier injection (HCI) before they surface as an error as well as further tuning of operating conditions to delay such phenomena from surfacing.
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Conference papers on the topic "Complex adaptive systems (CAS)"

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Hawryszkiewycz, Igor. "Workspace requirements for complex adaptive systems." In 2009 International Symposium on Collaborative Technologies and Systems. IEEE, 2009. http://dx.doi.org/10.1109/cts.2009.5067499.

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Verkhova, Galina V., Sergei V. Akimov, and Sergei P. Prisyazhnyuk. "Model of Adaptive Educational and Methodological Complex for E-learning Systems." In 2021 IV International Conference on Control in Technical Systems (CTS). IEEE, 2021. http://dx.doi.org/10.1109/cts53513.2021.9562900.

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Zhang, Jie, Souma Chowdhury, Achille Messac, Junqiang Zhang, and Luciano Castillo. "Surrogate Modeling of Complex Systems Using Adaptive Hybrid Functions." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48608.

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This paper explores the effectiveness of the recently developed surrogate modeling method, the Adaptive Hybrid Functions (AHF), through its application to complex engineered systems design. The AHF is a hybrid surrogate modeling method that seeks to exploit the advantages of each component surrogate. In this paper, the AHF integrates three component surrogate models: (i) the Radial Basis Functions (RBF), (ii) the Extended Radial Basis Functions (E-RBF), and (iii) the Kriging model, by characterizing and evaluating the local measure of accuracy of each model. The AHF is applied to model complex engineering systems and an economic system, namely: (i) wind farm design; (ii) product family design (for universal electric motors); (iii) three-pane window design; and (iv) onshore wind farm cost estimation. We use three differing sampling techniques to investigate their influence on the quality of the resulting surrogates. These sampling techniques are (i) Latin Hypercube Sampling (LHS), (ii) Sobol’s quasirandom sequence, and (iii) Hammersley Sequence Sampling (HSS). Cross-validation is used to evaluate the accuracy of the resulting surrogate models. As expected, the accuracy of the surrogate model was found to improve with increase in the sample size. We also observed that, the Sobol’s and the LHS sampling techniques performed better in the case of high-dimensional problems, whereas the HSS sampling technique performed better in the case of low-dimensional problems. Overall, the AHF method was observed to provide acceptable-to-high accuracy in representing complex design systems.
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Yin, Tingting, Lijuan Zha, Jinliang Liu, Yuda Wang, Meng Yang, and Wei Suo. "Adaptive event-triggered controller design for cyber-physical systems with complex cyber-attacks." In 2019 Chinese Automation Congress (CAC). IEEE, 2019. http://dx.doi.org/10.1109/cac48633.2019.8997362.

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Chiang, Winston, and Yan Jin. "Toward a Meta-Model of Behavioral Interaction for Designing Complex Adaptive Systems." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48821.

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Future complex engineered systems must be adaptable to, and function in, unpredictable situations, such as deep space or ocean explorations, hazardous waste cleanups, and search-and-rescue missions. To increase system adaptability, various multi-agent system approaches have been developed. From a design point of view, a critical question in developing such systems is: how can system adaptability be designed into complex systems based only on local interactions between (many) simple cells or agents? Although explicit cooperative methods have been applied to answer this question, their limitation in scaling-up has been recognized. In this paper, we introduce a meta-interaction model that can be used as a design approach towards multi-agent complex systems. The approach parameterizes behavioral interactions extended from the Boids swarm intelligence model by introducing dynamical variables into the system. The goal of the meta-interaction model is to provide a mapping for the prediction of collective functionality from local interactions and for the indication of local interactions based on desired functionality. The proposed model is described in detail and a computer simulation based case study of search-and-surround is presented to demonstrate the effectiveness of our proposed approach to designing complex adaptive systems.
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Li, Lin. "A Simulation for Uncertainty of Supply Chain Based on Complex Adaptive System." In 2011 International Conference on Control, Automation and Systems Engineering (CASE). IEEE, 2011. http://dx.doi.org/10.1109/iccase.2011.5997524.

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Soni, Sunilkumar, Santanu Das, and Aditi Chattopadhyay. "Optimal Sensor Placement for Damage Detection in Complex Structures." In ASME 2009 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2009. http://dx.doi.org/10.1115/smasis2009-1419.

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An optimal sensor placement methodology is proposed based on detection theory framework to maximize the detection rate and minimize the false alarm rate. Minimizing the false alarm rate for a given detection rate plays an important role in improving the efficiency of a Structural Health Monitoring (SHM) system as it reduces the number of false alarms. The placement technique is such that the sensor features are as directly correlated and as sensitive to damage as possible. The technique accounts for a number of factors, like actuation frequency and strength, minimum damage size, damage detection scheme, material damping, signal to noise ratio (SNR) and sensing radius. These factors are not independent and affect each other. Optimal sensor placement is done in two steps. First, a sensing radius, which can capture any detectable change caused by a perturbation and above a certain threshold, is calculated. This threshold value is based on Neyman-Pearson detector that maximizes the detection rate for a fixed false alarm rate. To avoid sensor redundancy, a criterion to minimize sensing region overlaps of neighboring sensors is defined. Based on the sensing region and the minimum overlap concept, number of sensors needed on a structural component is calculated. In the second step, a damage distribution pattern, known as probability of failure distribute, is calculated for a structural component using finite element analysis. This failure distribution helps in selecting the most sensitive sensors, thereby removing those making remote contributions to the overall detection scheme.
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Bilancia, Pietro, Giovanni Berselli, Umberto Scarcia, and Gianluca Palli. "Design of a Beam-Based Variable Stiffness Actuator via Shape Optimization in a CAD/CAE Environment." In ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/smasis2018-8053.

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Industrial robots are commonly designed to be very fast and stiff in order to achieve extremely precise position control capabilities. Nonetheless, high speeds and power do not allow for a safe physical interaction between robots and humans. With the exception of the latest generation lightweight arms, purposely design for human-robot collaborative tasks, safety devices shall be employed when workers enter the robots workspace, in order to reduce the chances of injuries. In this context, Variable Stiffness Actuators (VSA) potentially represent an effective solution for increasing robot safety. In light of this consideration, the present paper describes the design optimization of a VSA architecture previously proposed by the authors. In this novel embodiment, the VSA can achieve stiffness modulation via the use of a pair of compliant mechanisms with distributed compliance, which act as nonlinear springs with proper torque-deflection characteristic. Such elastic elements are composed of slender beams whose neutral axis is described by a spline curve with non-trivial shape. The beam geometry is determined by leveraging on a CAD/CAE framework allowing for the shape optimization of complex flexures. The design method makes use of the modeling and simulation capabilities of a parametric CAD software seamlessly connected to a FEM tool (i.e. Ansys Workbench). For validation purposes, proof-concept 3D printed prototypes of both non-linear elastic element and overall VSA are finally produced and tested. Experimental results fully confirm that the compliant mechanism behaves as expected.
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Feigenbaum, Heidi P., Constantin Ciocanel, and Alex Waldauer. "Predicting the Magneto-Mechanical Behavior of MSMAs Subject to Complex Load Paths." In ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/smasis2012-8164.

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The microstructure of magnetic shape memory alloys (MSMAs) is comprised of tetragonal martensite variants, each with their preferred internal magnetization orientation. In the presence of an external magnetic field, the martensite variants tend to reorient so that the preferred internal magnetization aligns with the external magnetic field. As a result, MSMAs exhibit the shape memory effect when there is a magnetic field in the vicinity of a material point. Furthermore, the tetragonal nature of the martensite variants allows for a compressive stress to cause variant reorientation. This paper studies the magneto-mechanical behavior of MSMAs under various load paths, including complex loading conditions where both the applied magnetic field and compressive stress vary simultaneously. Typically, MSMAs have been studied experimentally and modeled mathematically with either axial compressive stress or transverse magnetic field varying and the other remaining constant. For each load case, the mathematical models are calibrated with a set of experimental data that mimics those to be predicted. Model parameters have been found to be quite different when the calibration was performed with experimental results from different load cases. This work investigates if current models, namely the Kiefer and Lagoudasmodel or the Waldauer et al. model, are capable of predicting both of the typical loading configurations mentioned above with a single calibration. Furthermore, this work uses the Waldauer et al. model to simulate more complex loading, where an MSMA element is subject to simultaneously varying stress and field; this type of loading might occur if an actuator is being designed to displace a variable load over a controlled distance.
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Drozhzhov, K. A., S. I. Ivanov, and G. N. Ilin. "Adaptive data processing of a ground-based radiometric complex for remote sensing of tropospheric parameters." In 2017 IEEE II International Conference on Control in Technical Systems (CTS). IEEE, 2017. http://dx.doi.org/10.1109/ctsys.2017.8109550.

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Reports on the topic "Complex adaptive systems (CAS)"

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Colbaugh, Richard, Jeffrey Yeenien Tsao, Curtis Martin Johnson, George A. Backus, and Katherine A. Jones. A case for Sandia investment in complex adaptive systems science and technology. Office of Scientific and Technical Information (OSTI), May 2012. http://dx.doi.org/10.2172/1044960.

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White, William. What Next for the Post Covid Global Economy: Could Negative Supply Shocks Disrupt Other Fragile Systems? Institute for New Economic Thinking Working Paper Series, January 2023. http://dx.doi.org/10.36687/inetwp199.

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There is a reasonable likelihood that that the next global economic crisis could threaten the future of democracy. The economic system is a complex, adaptive system (CAS) subject to “tipping points” when underlying stresses lead to crisis. Moreover, the economic system is nested within a number of other CAS; political, environmental and public health among others. Looking forward, recurrent negative supply shocks imply a dangerous future of higher real interest rates and debt distress leading to either deflation (private debt distress) or higher inflation (sovereign debt distress). Such problems could threaten democratic political systems that are already showing signs of significant stress themselves. The paper finishes with some reflections on policy alternatives.
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Соловйов, Володимир Миколайович, V. Saptsin, and D. Chabanenko. Financial time series prediction with the technology of complex Markov chains. Transport and Telecommunication Institute, 2010. http://dx.doi.org/10.31812/0564/1145.

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In this research the technology of complex Markov chains, i.e. Markov chains with a memory is applied to forecast financial time-series. The main distinction of complex or high-order Markov chains [1] and simple first-order ones is the existing of after effect or memory. The high-order Markov chains can be simplified to first-order ones by generalizing the states in Markov chains. Considering the “generalized state” as the sequence of states makes a possibility to model high-order Markov chains like first-order ones. The adaptive method of defining the states is proposed, it is concerned with the statistic properties of price returns [2]. According to the fundamental principles of quantum measurement theories, the measurement procedure impacts not only on the result of the measurement, but also on the state of the measured system, and the behaviour of this system in the future remains undefined, despite of the precision of the measurement. This statement, in our opinion, is general and is true not only for physical systems, but to any complex systems [3].
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Klymenko, Mykola V., and Andrii M. Striuk. Development of software and hardware complex of GPS-tracking. CEUR Workshop Proceedings, March 2021. http://dx.doi.org/10.31812/123456789/4430.

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The paper considers the typical technical features of GPS-tracking systems and their development, as well as an analysis of existing solutions to the problem. Mathematical models for the operation of hardware and software of this complex have been created. An adaptive user interface has been developed that allows you to use this complex from a smartphone or personal computer. Methods for displaying the distance traveled by a moving object on an electronic map have been developed. Atmega162-16PU microcontroller software for GSM module and GPS receiver control has been developed. A method of data transfer from a GPS tracker to a web server has been developed. Two valid experimental samples of GPS-trackers were made and tested in uncertain conditions. The GPS-tracking software and hardware can be used to monitor the movement of moving objects that are within the coverage of GSM cellular networks.
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Chassin, David P., Joel M. Malard, Christian Posse, Asim Gangopadhyaya, Ning Lu, Srinivas Katipamula, and J. V. Mallow. Modeling Power Systems as Complex Adaptive Systems. Office of Scientific and Technical Information (OSTI), December 2004. http://dx.doi.org/10.2172/877087.

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Lichtblau, Dale E., Brian A. Haugh, Gregory N. Larsen, and Terry Mayfield. Analyzing Adversaries as Complex Adaptive Systems. Fort Belvoir, VA: Defense Technical Information Center, October 2006. http://dx.doi.org/10.21236/ada464073.

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Detry, Richard Joseph, John Michael Linebarger, Patrick D. Finley, S. Louise Maffitt, Robert John, Jr Glass, Walter Eugene Beyeler, and Arlo Leroy Ames. Complex Adaptive Systems of Systems (CASOS) engineering environment. Office of Scientific and Technical Information (OSTI), February 2012. http://dx.doi.org/10.2172/1038222.

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Busch, Timothy E., and Dawn A. Trevisani. Modeling of Complex Adaptive Systems in Air Operations. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada457738.

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Murphy, Joe J., Michael A. Duprey, Robert F. Chew, Paul P. Biemer, Kathleen Mullan Harris, and Carolyn Tucker Halpern. Interactive Visualization to Facilitate Monitoring Longitudinal Survey Data and Paradata. RTI Press, May 2019. http://dx.doi.org/10.3768/rtipress.2019.op.0061.1905.

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Surveys often require monitoring during data collection to ensure progress in meeting goals or to evaluate the interim results of an embedded experiment. Under complex designs, the amount of data available to monitor may be overwhelming and the production of reports and charts can be costly and time consuming. This is especially true in the case of longitudinal surveys, where data may originate from multiple waves. Other such complex scenarios include adaptive and responsive designs, which were developed to act on the results of such monitoring to implement prespecified options or alternatives in protocols. This paper discusses the development of an interactive web-based data visualization tool, the Adaptive Total Design (ATD) Dashboard, which we designed to provide a wide array of survey staff with the information needed to monitor data collection daily. The dashboard was built using the R programming language and Shiny framework and provides users with a wide range of functionality to quickly assess trends. We present the structure of the data used to populate the dashboard, its design, and the process for hosting it on the web. Furthermore, we provide guidance on graphic design, data taxonomy, and software decisions that can help guide others in the process of developing their own data collection monitoring systems. To illustrate the benefits of the dashboard, we present examples from the National Longitudinal Study of Adolescent to Adult Health (Add Health). We also discuss features of the dashboard to be developed for future waves of Add Health.
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Brodsky, Nancy S., Patrick D. Finley, Walter Eugene Beyeler, John Michael Linebarger, Thomas W. Moore, Robert John, Jr Glass, S. Louise Maffitt, Michael David Mitchell, and Arlo Leroy Ames. Complex Adaptive Systems of Systems (CASoS) engineering and foundations for global design. Office of Scientific and Technical Information (OSTI), January 2012. http://dx.doi.org/10.2172/1035333.

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