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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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Book
03 Jul 2014
TL;DR: This book introduces concepts, principles, models, and methods for understanding, and improving, healthcare delivery and argues that understanding healthcare delivery as a complex adaptive system will help us design a system that is more efficient, effective, and equitable.
Abstract: An argument that understanding healthcare delivery as a complex adaptive system will help us design a system that yields better health outcomes.Breakthroughs in medical science, innovations in medical technologies, and improvements in clinical practices occur today at an increasingly rapid rate. Yet because of a fragmented healthcare delivery system, many Americans are unable to benefit from these developments. How can we design a system that can provide high-quality, affordable healthcare for everyone? In this book, William Rouse and Nicoleta Serban introduce concepts, principles, models, and methods for understanding, and improving, healthcare delivery. Approaching the topic from the perspectives of engineering and statistics, they argue that understanding healthcare delivery as a complex adaptive system will help us design a system that is more efficient, effective, and equitable.The authors use multilevel simulation models as a quantitative tool for evaluating alternate ways of organizing healthcare delivery. They employ this approach, for example, in their discussions of affordability, a prevention and wellness program, chronic disease management, and primary care accessibility for children in the Medicaid program. They also consider possible benefits from a range of technologies, including electronic health records and telemedicine; data mining as an alternative to randomized trials; conceptual and analytical methodologies that address the complexity of the healthcare system; and how these principles, models, and methods can enable transformational change.

36 citations

Journal Article
TL;DR: In this article, a case study of the Peace Officers Association of Los Angeles County (POALAC) reveals a coordinated networked administrative response to the complexity of regional law enforcement consistent with theoretical predictions.
Abstract: This paper combines insights from literature on complex systems theory and the conjunctive state, applies them to new challenges facing public administrators in metropolitan areas, and tests them in a case study of the Peace Officers Association of Los Angeles County (POALAC). The argument is advanced that administrative networks, shared governance, and co-production of public services developed in the conjunctive state are real-world exemplars of the emergent properties of complex adaptive systems (CAS). As the production of social capital and public trust of government decline in response to the increasing inability of hierarchical, topdown, command-and-control institutions to solve complex societal problems, the fundamental nature of associations and relations among citizens, policy makers, civic leaders, and government is changing in metropolitan areas as government slowly shifts toward governance. The case study of POALAC reveals a coordinated networked administrative response to the complexity of regional law enforcement consistent with theoretical predictions. Introduction This paper explores how complex metropolitan systems are evolving through the creation of administrative networks, and how those networks influence public administration and policy formation through the work of public administrators. It draws on previous research (Bogason, 2000; Meek & Newell, 2005; Morcol, 2002; Newell & Meek, 1997) to establish a synthesis of complex systems theories from which we develop central tenets that ground an understanding of complex urban systems. It then sketches out how these conditions have influenced the recent movement toward shared governance in urban environments. The paper embraces the "conjunctive state" (Frederickson, 1999) as a central feature of public administration. The interplay of administrative conjunction with policy deliberation and administration is then explored through a case study of the collective responses of police officers in Los Angeles county to what is referred to as the "disarticulated state." One concern of the paper is to examine the characteristic policy deliberation and administration that evolves from complex conditions, and the consequences of such deliberations for public administrators. Collective activities among public administrators - administrative conjunction - greatly influence policy administration. What is yet to be explored in both the policy and administrative networkliteratures are consequences ofadministrative conjunction that are a product of complex jurisdictional interdependences as well as a contributor to complex urban system management. The very condition of complexity that draws administrators to work collectively is reflective of their deliberation and collective action. Such influence also has administrative consequences. The goal of this paper is to examine these consequences and highlight their implications for advancing complexity thinking for innovation in public administration. The paper opens with a review of selected literature on complexity theory and its relevance for public administration, followed by characterization of metropolitan environments as "disarticulated states" full of complexity and self-organization. These forms of collective activities are then discussed within the context of public management network theory. Finally, the paper examines a case study analysis of the POALAC network in order to highlight the central policy administrative consequences that evolve out of conjunctive practices. Complex systems theory, while developed in the natural sciences, has much to offer the social sciences. While our previous work provided a cautious assessment of the applicability of various complex systems theories to human behavior (Newell & Meek, 2000), this paper provides a summary of findings from recent literature on complex systems that can be applied to the recent movement toward shared governance in urban environments - the socalled conjunctive state. …

36 citations

Journal ArticleDOI
TL;DR: Using a complex adaptive systems perspective, the authors explored project team resilience through analysis of group development and panarchy, focusing on a team's consciousness of a need to change under adversity, its response through adaptive action, and its potential for innovation through creative destruction.
Abstract: Using a complex adaptive systems perspective, this case study explored project team resilience through analysis of group development and panarchy. Three research questions focused on a team's consciousness of a need to change under adversity, its response through adaptive action, and its potential for innovation through creative destruction. The subject team consisted of approximately 200 students, building a solar house over a 2-year period in an international competition sponsored by the US Department of Energy. A multilevel analysis culminated in an integrated systems perspective with conclusions, specifically the role of environmental feedback. Implications suggest using complex adaptive systems as a theoretical foundation for studying group development, as well as organizational culture, inflection points, nested adaptive cycles, emergence of leadership, and emergence of innovation. This research contributes a deeper understanding of project team resilience in organizational systems such as companies, non-profits, governmental, and non-governmental entities by revealing the importance of building adaptive capacity through organizational learning. Copyright © 2012 John Wiley & Sons, Ltd.

36 citations

Journal ArticleDOI
TL;DR: In this paper, an agent-based model (ABM) framework for two potential industrial ecosystems, namely, the Picardie/Champagne-Ardenne oilseed crops agriculture (France) and the pulp and paper industries, is presented.
Abstract: Industrial sustainability at the regional level requires collaborative efforts from various participating agents toward common goals consisting of resource conservation, low carbon emissions, production efficiency, economic viability, and corporate social responsibility. Our existing socio-technical systems should transition or evolve towards achieving systems sustainability. This study aims to operationalize the notion of systems sustainability by developing an Agent-based Model (ABM) framework for two potential industrial ecosystems: The Picardie/Champagne-Ardenne oilseed crops agriculture (France). Such applications of agent-based modeling can show possible evolutionary trajectories of given scenarios under different conditions and geographical contexts. In this paper we view these economic activities along with their associated partners (suppliers, customers, government agencies etc) and the natural environment in which they operate to be complex adaptive systems. Therefore, industrial eco-parks organized around agricultural products and the pulp and paper industries are relevant areas of application for ABM. This task will help identify and provide a contextual analysis of the structural factors and main driving forces for the development of industrial symbiosis along the lines of prospective scenarios (ecological constraints; regulations, economic, cultural and behavioural contexts; carbon markets; technological routes, etc). The current model focuses on the cultural and behavioral aspects with the following research question: What are the behavioral factors that favor the development of an industrial symbiosis?.

36 citations

DOI
01 Sep 2019
TL;DR: The article presents an analysis of modern and promising technologies necessary for the organization of the digital industry in enterprises, and determining the set of necessary technologies that ensure the transition from the current state of the industry to Industry 4.0 and then to Industry 5.0.
Abstract: Currently, the industry is transforming the physical world of real things into their “virtual copies”. This transformation is a key element of industry 4.0. Due to the high requirements of end users to the individualization of the purchased product industry 5.0 is becoming increasingly popular concept, which implies the penetration of artificial intelligence into the human life to increase the level of human capabilities. The article discusses the state and prospects of development of technologies that contribute in the process of the transition from industry 4.0 to industry 5.0. The conditional pyramid of technologies which Association is capable to provide this transition is presented. New types of distributed computers, Internet of everything, multi-agent systems and technologies, ontology and knowledge bases, theory of complex adaptive systems, emergent intelligence, evergetic and enterprise architecture are considered as the main components for the transition. Boundary calculations in the context of management of data coming from the Internet of things will affect almost all companies in the economy and the public sector. They will cover the scope of activities from the automation of throughput control and data collection on the quality of goods, monitoring of vehicle traffic and ending with the robotization of factories. The article presents an analysis of modern and promising technologies necessary for the organization of the digital industry in enterprises, and determining the set of necessary technologies that ensure the transition from the current state of the industry to Industry 4.0 and then to Industry 5.0. It also presents a formal description of industry 4.0 and industry 5.0, which makes it possible to present the problem as a mathematical problem that has a solution. Complex formal description of the enterprise, based on the methodology of its architecture, allows to increase the efficiency of business information support in the industry 5.0. This is necessary for the organization of the digital industry in enterprises and to determine how to ensure the transition from the current state of the industry to industry 5.0. Applying this approach to industry 4.0, then to Industry 5.0, will measure the cost of this transition and make it effective.

36 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202336
202269
2021120
2020132
2019152
2018191