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Complex Adaptive Systems (complex + adaptive_system)
Selected AbstractsLanguage Is a Complex Adaptive System: Position PaperLANGUAGE LEARNING, Issue 2009The "Five Graces Group" Language has a fundamentally social function. Processes of human interaction along with domain-general cognitive processes shape the structure and knowledge of language. Recent research in the cognitive sciences has demonstrated that patterns of use strongly affect how language is acquired, is used, and changes. These processes are not independent of one another but are facets of the same,complex adaptive system,(CAS). Language as a CAS involves the following key features: The system consists of multiple agents (the speakers in the speech community) interacting with one another. The system is adaptive; that is, speakers' behavior is based on their past interactions, and current and past interactions together feed forward into future behavior. A speaker's behavior is the consequence of competing factors ranging from perceptual constraints to social motivations. The structures of language emerge from interrelated patterns of experience, social interaction, and cognitive mechanisms. The CAS approach reveals commonalities in many areas of language research, including first and second language acquisition, historical linguistics, psycholinguistics, language evolution, and computational modeling. [source] If Language Is a Complex Adaptive System, What Is Language Assessment?LANGUAGE LEARNING, Issue 2009Robert J. Mislevy Individuals' use of language in contexts emerges from second-to-second processes of activating and integrating traces of past experiences,an interactionist view compatible with the study of language as a complex adaptive system but quite different from the trait-based framework through which measurement specialists investigate validity, establish reliability, and ensure fairness of assessments. This article discusses assessment arguments from an interactionist perspective. We argue that the familiar concepts and methods of assessment that evolved under a trait perspective can be gainfully reconceived in terms of the finer-grained perspective of interactionism, and we illustrate how key ideas relate to familiar practices in language testing. [source] The oral ecosystem: implications for educationEUROPEAN JOURNAL OF DENTAL EDUCATION, Issue 4 2006H. M. Eriksen Abstract, We propose a model that is applicable to oral health education. The model describes the oral cavity in a complexity-based ecological context. This concept includes the premise that factors from different organisational levels (biological, individual, community, society) interact in a complex way with the potential to ,stress' the ecosystem and thereby provoke changes. This mode of action complies with the understanding of the oral cavity as a complex adaptive system. An ecological model is actively used in the undergraduate problem-based curriculum at the Faculty of Odontology, Malmö University, Sweden and has recently been applied as a conceptual basis for the new dental curriculum being established at the University of Tromsø in Northern Norway. The purpose is to encourage and promote an ecological, health-oriented view and to stimulate reflections on premises for oral health and diseases in an integrated context. [source] Language Is a Complex Adaptive System: Position PaperLANGUAGE LEARNING, Issue 2009The "Five Graces Group" Language has a fundamentally social function. Processes of human interaction along with domain-general cognitive processes shape the structure and knowledge of language. Recent research in the cognitive sciences has demonstrated that patterns of use strongly affect how language is acquired, is used, and changes. These processes are not independent of one another but are facets of the same,complex adaptive system,(CAS). Language as a CAS involves the following key features: The system consists of multiple agents (the speakers in the speech community) interacting with one another. The system is adaptive; that is, speakers' behavior is based on their past interactions, and current and past interactions together feed forward into future behavior. A speaker's behavior is the consequence of competing factors ranging from perceptual constraints to social motivations. The structures of language emerge from interrelated patterns of experience, social interaction, and cognitive mechanisms. The CAS approach reveals commonalities in many areas of language research, including first and second language acquisition, historical linguistics, psycholinguistics, language evolution, and computational modeling. [source] If Language Is a Complex Adaptive System, What Is Language Assessment?LANGUAGE LEARNING, Issue 2009Robert J. Mislevy Individuals' use of language in contexts emerges from second-to-second processes of activating and integrating traces of past experiences,an interactionist view compatible with the study of language as a complex adaptive system but quite different from the trait-based framework through which measurement specialists investigate validity, establish reliability, and ensure fairness of assessments. This article discusses assessment arguments from an interactionist perspective. We argue that the familiar concepts and methods of assessment that evolved under a trait perspective can be gainfully reconceived in terms of the finer-grained perspective of interactionism, and we illustrate how key ideas relate to familiar practices in language testing. [source] Organizational sticking points on NK LandscapesCOMPLEXITY, Issue 5 2002Jan W. Rivkin Abstract Scholars studying human organizations have recently adopted the notion of fitness landscapes, a concept pioneered in the biological and physical sciences. Such scholars have generally assumed that organizations will migrate toward the local peaks of these landscapes, as biological and physical entities do. We use an agent-based simulation to show, to the contrary, that a hierarchical human organization may very well come to rest at a "sticking point" that is not a local peak on the fitness landscape of the overall organization. Three pervasive features of human organizations create the distinction between sticking points and local peaks: the delegation of choices to separate decision makers, interdependencies between the domains of those decision makers, and differences between local incentives and global incentives. Our results illustrate both that it is valuable to use tools developed to study one type of complex adaptive system in order to examine another type and that researchers must adapt the tools with care as they attempt to do so. © 2002 Wiley Periodicals, Inc. [source] Organizational emergence in networked collaborationINTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, Issue 7 2002Ari-Pekka Hameri Abstract Research on complex adaptive systems has generated several conceptual parables to explain systems with emergent behaviour. One prominent use for terms such as self-organization, evolutionary trajectories, co-evolution and punctuated equilibrium has been in understanding human organizations. In such systems, emergent behaviour is demonstrated in novel structures, processes and spin-offs that cannot be explained just by studying single components of the organization and the intelligence embedded in them. Instead of solely exploiting the qualitative explanatory power of the evolutionary concepts, this paper focuses also on quantitative methods to track emergent behaviour in a globally distributed, constantly fluctuating and highly networked project organization. The underlying case is that of CERN (CERN, the European Laboratory for Particle Physics, has its headquarters in Geneva. At present, its Member States are Austria, Belgium, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Italy, Netherlands, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland and the United Kingdom. Israel, the Russian Federation, Turkey, Yugoslavia (status suspended after the UN embargo, June 1992), the European Commission and UNESCO have observer status.) and its decade long accelerator project, which strongly relies on electronic communication and networking to achieve its major objectives due to be accomplished by the year 2006. By using time series and self-organizing maps to analyse the global interaction among project groups and individuals the paper provides new insight to the understanding of emergent behaviour in human organizations. The key result of the study concerns the rigid deep structure of each case organization that seems to remain intact for the duration of the whole project. Copyright © 2002 John Wiley & Sons, Ltd. [source] The facilitating factors for organizational learning: bringing ideas from complex adaptive systemsKNOWLEDGE AND PROCESS MANAGEMENT: THE JOURNAL OF CORPORATE TRANSFORMATION, Issue 2 2003Ricardo Chiva-Gómez The importance of the factors that facilitate organizational learning have traditionally been outlined in the literature. However, there is no agreement about what the essential facilitating factors are, as each author emphasizes different features. Complexity science is increasingly being used by researchers and practitioners to improve their understanding of organizations. This exploratory study tries to determine the essential facilitating factors for organizational learning, and demonstrate the importance of the ideas from complex adaptive systems (CAS) to it. In order to do this, we put forward a comparative case study of four heterogeneous companies from the Spanish ceramic tile sector in which we analyzed the facilitating factors for organizational learning, by relating them with ideas from CAS. As a result, we determined that the five attributes suggested by CAS to facilitate organizational learning were present in the innovative companies, which had the most organizational learning facilitating factors, and three of them were only present in the company with the highest performance and the most innovative approach: individuals' relationship with the environment; cultural diversity; and state of equilibrium between formal and informal structures. Copyright © 2003 John Wiley & Sons, Ltd. [source] Introduction: Second Language Development as a Dynamic ProcessMODERN LANGUAGE JOURNAL, Issue 2 2008KEES DE BOT In this contribution, some of the basic characteristics of complex adaptive systems, collectively labeled Dynamic Systems Theory (DST), are discussed. Such systems are self-organizing, dependent on initial conditions, sometimes chaotic, and they show emergent properties. The focus in DST is on development over time. Language is seen as a dynamic system, and language development, both acquisition and attrition, as a dynamic process. A number of examples of possible applications of DST in the field of applied linguistics are mentioned. After a short presentation of each of the individual articles, some possible lines of research are discussed. [source] Mazes, Conflict, and Paradox: Tools for Understanding Chronic PainPAIN PRACTICE, Issue 3 2009Cary A. Brown PhD Abstract This article presents an argument for framing chronic pain within a complex adaptive systems (CAS) paradigm. The first aim of this article is to demonstrate how chronic pain can be framed as a CAS and how paradox, one of the core characteristics of a CAS, exists within the chronic pain experience. The second aim is to illustrate how paradox exists at multiple levels within the health care encounter and ongoing experience of chronic pain. Finally, the article will use the example of interactions at the patient/clinician level to illustrate how health care workers' efforts to deal with issues emergent from the range of paradoxes have for the most part been ineffective, and at times harmful, to persons experiencing chronic pain. This article uses the example of chronic pain to explore how the manner in which health care providers and patients recognize and deal with paradoxes can either worsen the pain experience or help generate creative new ways to manage the chronic pain condition. The CAS principles discussed in this article hold application across a range of chronic conditions for which a traditional biomedical paradigm proves insufficient. [source] Management Strategies for Complex Adaptive Systems Sensemaking, Learning, and ImprovisationPERFORMANCE IMPROVEMENT QUARTERLY, Issue 2 2007Reuben R. McDaniel Jr. Misspecification of the nature of organizations may be a major reason for difficulty in achieving performance improvement. Organizations are often viewed as machine-like, but complexity science suggests that organizations should be viewed as complex adaptive systems. I identify the characteristics of complex adaptive systems and give examples of management errors that may be made when these characteristics are ignored. Command, control and planning are presented as managerial tasks that come to the fore when a machine view of organizations dominates thinking. When we treat organizations as complex adaptive systems the focus of managerial activity changes, and sensemaking, learning and improvisation become appropriate strategies for performance improvement. Each of these is defined and described. A modest research agenda is presented. [source] |