Topic
Complex adaptive system
About: Complex adaptive system is a research topic. Over the lifetime, 3190 publications have been published within this topic receiving 111947 citations. The topic is also known as: Complex adaptive system, CAS.
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TL;DR: In this article, it is argued that, because of the characteristics of economic systems, an ex-post analysis is more appropriate, which describes the emergence of such systems' properties, and which sees policy as a social steering mechanism.
58 citations
TL;DR: An ecological dynamics rationale for creativity is explored, highlighting the conceptual adjacency of key concepts from transdisciplinarity, dynamic systems theory, ecological psychology and social-cognitive psychology and supporting a pedagogical approach predicated on notions of athletes and sports teams as complex adaptive systems.
Abstract: The challenge of developing creativity to enhance human potential is conceptualized as a multifaceted wicked problem due to the countless interactions between people and environments that constitute human development, athletic skill, and creative moments. To better comprehend the inter-relatedness of ecologies and human behaviors, there have been increasing calls for transdisciplinary approaches and holistic ecological models. In this paper we explore an ecological dynamics rationale for creativity, highlighting the conceptual adjacency of key concepts from transdisciplinarity, dynamic systems theory, ecological psychology and social-cognitive psychology. Our aim is to extend the scope of ecological dynamics and contextualize the application of non-linear pedagogy in sport. Foregrounding the role of sociocultural constraints on creative behaviors, we characterize the athlete-environment system as an ecological niche that arises from, and simultaneously co-creates, a form of life. We elaborate the notion that creative moments, skill and more generally talent in sport, are not traits possessed by individuals alone, but rather can be conceived as properties of the athlete-environment system shaped by changing constraints. This re-conceptualization supports a pedagogical approach predicated on notions of athletes and sports teams as complex adaptive systems. In such systems, continuous non-linear interactions between system components support the exploration of fluent and flexibly creative performance solutions by athletes and sports teams. The implications for practice suggest that cultivating a constellation of constraints can facilitate adaptive exploration of novel affordances (opportunities/invitation for action), fostering creative moments and supporting creative development in athletes. Future models or frameworks for practice contend that pedagogies should emerge from, and evolve in, interaction with the sociocultural context in which practitioners and athletes are embedded.
58 citations
TL;DR: Results indicate that fluctuation of message content themes in this online community served to energize continuous input from ordinary organization members and actualized new possibilities offered by the technology platform for crisis management actions.
Abstract: Organizational crisis management has traditionally favored a centralized plan-and-control approach. This study explores the possibility for an orderly crisis management process to arise unintentionally from decentralized and spontaneous actions in an online community (i.e., self-organization). Based on complex adaptive systems theory, a multilevel model is developed to account for the logical relation between individual-level actions and interactions in an online community and an organizational-level orderly and rational crisis management process, as described by the organizational crisis management literature. We apply this multilevel model to an analysis of 89,596 posts from an online community that was deeply embedded in an earthquake-induced organizational crisis. Results indicate that fluctuation of message content themes in this online community served to energize continuous input from ordinary organization members. These input actualized new possibilities offered by the technology platform for crisis management actions (i.e., actualized IT affordances). Concatenation of immediate impacts of message content themes and actualized IT affordances formed feedback loops that moderated the crisis management activities toward an efficient trajectory. Our findings challenge the traditional assumption that macro-level order requires micro-level order-seeking behaviors. They suggest the viability of self-organization as a new source of organizational order that complements the traditional centralized plan-and-control approach. Theoretical and empirical implications for harnessing the power of ordinary organization members connected by today's technology platforms are discussed.
58 citations
18 Nov 2009
TL;DR: This thesis presents a method for creating Agent Based Models that suitably represent complex evolving systems and is demonstrated to yield subsequent generations of richer and ever more useful simulation models.
Abstract: Exactly predicting the future of an evolving large scale socio-technical system is impossible. Yet, if we are to sustainably manage the industrial and infrastructure systems our society depends on, we must understand how the actions we take today will affect the evolution of these systems. Simulating how the social and technical networks co-evolve over time allows us to explore possible system futures. This knowledge can help today’s decision makers to steer the system away from undesirable evolutionary pathways. Creating models that capture the complexity of socio-technical systems co-evolution requires multiple formalisms to be encoded in a modeling framework that itself evolves. This thesis presents a method for creating Agent Based Models that suitably represent complex evolving systems. The method involves a co-evolution between the technical aspects of model development, the social process involving the stakeholders, the collection of relevant domain knowledge and the encoding of facts. Through seven case studies the method is demonstrated to yield subsequent generations of richer and ever more useful simulation models.
57 citations
TL;DR: It is argued that the DPE framework helps to explain many complex phenomena, including perpetual novelty, modularity, scale-free networks and criticality, in particular, self-organized criticality and the adaptive cycle.
Abstract: Understanding the origins of complexity is a key challenge in many sciences. Although networks are known to underlie most systems, showing how they contribute to well-known phenomena remains an issue. Here, we show that recurrent phase transitions in network connectivity underlie emergent phenomena in many systems. We identify properties that are typical of systems in different connectivity phases, as well as characteristics commonly associated with the phase transitions. We synthesize these common features into a common framework, which we term dual-phase evolution (DPE). Using this framework, we review the literature from several disciplines to show that recurrent connectivity phase transitions underlie the complex properties of many biological, physical and human systems. We argue that the DPE framework helps to explain many complex phenomena, including perpetual novelty, modularity, scale-free networks and criticality. Our review concludes with a discussion of the way DPE relates to other frameworks, in particular, self-organized criticality and the adaptive cycle.
57 citations