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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01 Oct 1999
18 citations
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TL;DR: This theoretical paper is based on complex adaptive systems (CAS) that integrate dynamic and holistic elements, aiming to discuss supply networks as complex systems and their dynamic and co-evolutionary processes.
Abstract: This theoretical paper is based on complex adaptive systems (CAS) that integrate dynamic and holistic elements, aiming to discuss supply networks as complex systems and their dynamic and co-evolutionary processes. The CAS approach can give clues to understand the dynamic nature and co-evolution of supply networks because it consists of an approach that incorporates systems and complexity. This paper's overall contribution is to reinforce the theoretical discussion of studies that have addressed supply chain issues, such as CAS.
18 citations
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TL;DR: In this paper, the authors explore addiction through the lens of complex adaptive systems theory, as an emergent, non-linear phenomenon that undergoes cyclical patterns of stability and change, and suggest that addiction is a behavioral pattern that emerges through the dynamic interactions of numerous variables operating both within the individual and in the environment.
Abstract: This paper explores addiction through the lens of complex adaptive systems theory, as an emergent, non-linear phenomenon that undergoes cyclical patterns of stability and change. Particularly, an addiction is a behavioural pattern that emerges through the dynamic interactions of numerous variables operating both within the individual and in the environment. Furthermore, we argue that an addiction moves through the four phases of the adaptive cycle and exists at a given scale nested within a panarchy of other complex systems. Each of these complex adaptive systems is moving through its own adaptive cycle at faster and slower rates, affecting the course of addiction in various ways. We conclude this work by suggesting that forthcoming addiction interventions and research may benefit from the consideration that addiction is a function of three separate, but related, adaptive cycles; the addiction cycle itself; a transitory cycle, and a final cycle in which the individual is actively responsible for t...
18 citations
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08 Dec 2020
TL;DR: In this paper, the authors focus on the costliest climate-exacerbated hazard, flooding, and review computational agent-based models that include behavioral change and societal dynamics, and highlight that applying a complex adaptive system perspective to trace the evolution of resilience can lead to a better understanding of transformational adaptation.
Abstract: Climate change and rapid urbanization exacerbate flood risks worldwide. The recognition of the crucial role that human actors play in altering risks and resilience of flood-prone cities triggers a paradigm shift in climate risks assessments and drives the proliferation of computational models that include societal dynamics. Yet, replacing a representative rational actor dominant in climate policy models with a variety of behaviorally-rich agents that interact, learn, and adapt is not straightforward. Focusing on the costliest climate-exacerbated hazard, flooding, we review computational agent-based models that include behavioral change and societal dynamics. We distinguish between two streams of literature: one stemming from economics & behavioral sciences and another from hydrology. Our findings show that most studies focus on households while representing decisions of other agents (government, insurance, urban developers) simplistically and entirely overlooking firms' choices in the face of risks. The two communities vary in the extent they ground agents' rules in social theories and behavioral data when modeling boundedly-rational decisions. While both aspire to trace feedbacks that agents collectively instigate, they employ different learning and interactions when computing societal dynamics in the face of climate risks. Dynamics of hazard, exposure, and vulnerability components of flood risks driven by incremental adaptation of agents are well represented. We highlight that applying a complex adaptive system perspective to trace the evolution of resilience can lead to a better understanding of transformational adaptation. The methodological advances in computational models with heterogeneous behaviorally-rich adaptive agents are relevant for adaptation to different climate-driven hazards beyond flooding.
18 citations
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TL;DR: In this article, the authors identify and transfer knowledge regarding healthcare worker's well-being from health sciences to the development of proactive safety management systems, with a specific emphasis on the resilience engineering framework as offering the most potential for this.
18 citations